This paper summarizes the unique characteristics of the Utah Population Database (UPDB) and how it has catalyzed demographic, social and medical research since the mid-1970s. The UPDB is one of the world’s richest sources of linked population-based information for demographic, genetic, and epidemiological studies at the Individual-level. UPDB has supported hundreds of demographic and biomedical investigations, with heavy emphasis on families, in large part because of its size, representativeness, inclusion of multi-generational pedigrees, and linkages to numerous data sources. The UPDB contains data on over 11 million individuals from the late 18th century to the present. UPDB data represent Utah’s population that appear in administrative records and many of these data are updated due to longstanding efforts to add records as they become available including statewide birth and death certificates, hospitalizations, ambulatory surgeries, and driver licenses. The depth of information within UPDB has been used to support a wide range of family, medical and historical demographic studies which are described here arranged into four broad categories: fertility, mortality, life course analyses and some selected special topics. The paper concludes with a discussion of the future areas of innovation within the UPDB and the types of novel studies that they are likely to facilitate.
{"title":"The Utah Population Database. The Legacy of Four Decades of Demographic Research","authors":"Ken R. Smith, G. Mineau","doi":"10.51964/hlcs10916","DOIUrl":"https://doi.org/10.51964/hlcs10916","url":null,"abstract":"This paper summarizes the unique characteristics of the Utah Population Database (UPDB) and how it has catalyzed demographic, social and medical research since the mid-1970s. The UPDB is one of the world’s richest sources of linked population-based information for demographic, genetic, and epidemiological studies at the Individual-level. UPDB has supported hundreds of demographic and biomedical investigations, with heavy emphasis on families, in large part because of its size, representativeness, inclusion of multi-generational pedigrees, and linkages to numerous data sources. The UPDB contains data on over 11 million individuals from the late 18th century to the present. UPDB data represent Utah’s population that appear in administrative records and many of these data are updated due to longstanding efforts to add records as they become available including statewide birth and death certificates, hospitalizations, ambulatory surgeries, and driver licenses. The depth of information within UPDB has been used to support a wide range of family, medical and historical demographic studies which are described here arranged into four broad categories: fertility, mortality, life course analyses and some selected special topics. The paper concludes with a discussion of the future areas of innovation within the UPDB and the types of novel studies that they are likely to facilitate.","PeriodicalId":73242,"journal":{"name":"Historical life course studies","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48922471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Australia is rich in population datasets generated to manage convicts, civilians, stock, land and the colonised and displaced First Nations people. It has also preserved all service and pension data from both world wars. Through nominal linkage using volunteers and paid research staff, it has been possible over the past twenty years to build four cradle-to-grave datasets derived from administrative cohorts: poor white babies born in a charity hospital 1858–1900; Aboriginal Victorians from 1855 to 1988; convicts transported to Van Diemen’s Land 1818-1853 and servicemen who embarked for World War I from the State of Victoria. The abundance of digitised historical sources from government archives to historical newspapers enables the practice of demographic prosopography, with a wide range of variables that have yielded new insights into Australia’s population and social history.
{"title":"Building Longitudinal Datasets From Diverse Historical Data in Australia","authors":"J. McCalman","doi":"10.51964/hlcs10939","DOIUrl":"https://doi.org/10.51964/hlcs10939","url":null,"abstract":"Australia is rich in population datasets generated to manage convicts, civilians, stock, land and the colonised and displaced First Nations people. It has also preserved all service and pension data from both world wars. Through nominal linkage using volunteers and paid research staff, it has been possible over the past twenty years to build four cradle-to-grave datasets derived from administrative cohorts: poor white babies born in a charity hospital 1858–1900; Aboriginal Victorians from 1855 to 1988; convicts transported to Van Diemen’s Land 1818-1853 and servicemen who embarked for World War I from the State of Victoria. The abundance of digitised historical sources from government archives to historical newspapers enables the practice of demographic prosopography, with a wide range of variables that have yielded new insights into Australia’s population and social history.","PeriodicalId":73242,"journal":{"name":"Historical life course studies","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43120258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bjorn-Richard Pedersen, Einar J. Holsbø, Trygve Andersen, N. Shvetsov, J. Ravn, H. Sommerseth, L. A. Bongo
Machine learning approaches achieve high accuracy for text recognition and are therefore increasingly used for the transcription of handwritten historical sources. However, using machine learning in production requires a streamlined end-to-end pipeline that scales to the dataset size and a model that achieves high accuracy with few manual transcriptions. The correctness of the model results must also be verified. This paper describes our lessons learned developing, tuning and using the Occode end-to-end machine learning pipeline for transcribing 2.3 million handwritten occupation codes from the Norwegian 1950 population census. We achieve an accuracy of 97% for the automatically transcribed codes, and we send 3% of the codes for manual verification . We verify that the occupation code distribution found in our results matches the distribution found in our training data, which should be representative for the census as a whole. We believe our approach and lessons learned may be useful for other transcription projects that plan to use machine learning in production. The source code is available at https://github.com/uit-hdl/rhd-codes.
{"title":"Lessons Learned Developing and Using a Machine Learning Model to Automatically Transcribe 2.3 Million Handwritten Occupation Codes","authors":"Bjorn-Richard Pedersen, Einar J. Holsbø, Trygve Andersen, N. Shvetsov, J. Ravn, H. Sommerseth, L. A. Bongo","doi":"10.51964/hlcs11331","DOIUrl":"https://doi.org/10.51964/hlcs11331","url":null,"abstract":"Machine learning approaches achieve high accuracy for text recognition and are therefore increasingly used for the transcription of handwritten historical sources. However, using machine learning in production requires a streamlined end-to-end pipeline that scales to the dataset size and a model that achieves high accuracy with few manual transcriptions. The correctness of the model results must also be verified. This paper describes our lessons learned developing, tuning and using the Occode end-to-end machine learning pipeline for transcribing 2.3 million handwritten occupation codes from the Norwegian 1950 population census. We achieve an accuracy of 97% for the automatically transcribed codes, and we send 3% of the codes for manual verification . We verify that the occupation code distribution found in our results matches the distribution found in our training data, which should be representative for the census as a whole. We believe our approach and lessons learned may be useful for other transcription projects that plan to use machine learning in production. The source code is available at https://github.com/uit-hdl/rhd-codes.","PeriodicalId":73242,"journal":{"name":"Historical life course studies","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46759606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The rise in life expectancy is one of the main processes of social change in the 19th century. In the Netherlands, regional differences in life expectancy, and their development, were huge. Therefore, studies on average life expectancy or studies, which examine the whole of the Netherlands do not fully capture the differential determinants of this process. This study focuses on social, economic, and geographic differences in life expectancy in 19th-century Overijssel using the Historical Sample of the Netherlands (HSN). Exploiting Cox regression, the influence of several factors on life expectancy are investigated. The article shows that birth cohort, urbanisation, and gender had an important relation with life expectancy in 19th-century Overijssel, while industrialisation, religion, and inheritance customs were not associated with age at death.
{"title":"Surviving in Overijssel. An Analysis of Life Expectancy, 1812–1912.","authors":"Sander Wennemers, H. Bras","doi":"10.51964/HLCS9586","DOIUrl":"https://doi.org/10.51964/HLCS9586","url":null,"abstract":"The rise in life expectancy is one of the main processes of social change in the 19th century. In the Netherlands, regional differences in life expectancy, and their development, were huge. Therefore, studies on average life expectancy or studies, which examine the whole of the Netherlands do not fully capture the differential determinants of this process. This study focuses on social, economic, and geographic differences in life expectancy in 19th-century Overijssel using the Historical Sample of the Netherlands (HSN). Exploiting Cox regression, the influence of several factors on life expectancy are investigated. The article shows that birth cohort, urbanisation, and gender had an important relation with life expectancy in 19th-century Overijssel, while industrialisation, religion, and inheritance customs were not associated with age at death.","PeriodicalId":73242,"journal":{"name":"Historical life course studies","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49289884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The role played by midwives during modernity deserves increased attention. Ethnic and confessional minorities often displayed starkly different patterns in the selection of these instrumental figures. More than that, the differences between the official reports and the community behavior recorded at ground level suggest a major gap between theory and practice. In theory, the province of Transylvania was well provided with medical care, midwives included. Data collected into the Historical Population Database of Transylvania reveals the fact that most women were assisted at birth by handywomen, the traditional, unskilled midwives. A research tool like a historical population database could help the scholars to address the issue of birth medicalisation, starting from the main research question: can we discuss the medicalisation of birth given that more than half of the women assisted in the delivery of just one child?
{"title":"Medicalisation of Birth in Transylvania in the Second Half of the 19th Century. A Subject to be Investigated","authors":"Luminița Dumănescu, Ioan Bolovan","doi":"10.51964/HLCS9574","DOIUrl":"https://doi.org/10.51964/HLCS9574","url":null,"abstract":"The role played by midwives during modernity deserves increased attention. Ethnic and confessional minorities often displayed starkly different patterns in the selection of these instrumental figures. More than that, the differences between the official reports and the community behavior recorded at ground level suggest a major gap between theory and practice. In theory, the province of Transylvania was well provided with medical care, midwives included. Data collected into the Historical Population Database of Transylvania reveals the fact that most women were assisted at birth by handywomen, the traditional, unskilled midwives. A research tool like a historical population database could help the scholars to address the issue of birth medicalisation, starting from the main research question: can we discuss the medicalisation of birth given that more than half of the women assisted in the delivery of just one child?","PeriodicalId":73242,"journal":{"name":"Historical life course studies","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45498223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In recent decades elderly care policies in Sweden have been characterized by a marked shift from institutional care to home care. Previous research has highlighted how this has resulted in the elderly receiving care at a higher age and increased reliance on family and kin for providing care. Using register data for the entire Swedish population aged 65+ in 2016, we analyze how home care services in contemporary Sweden distribute regarding individual-level factors such as gender, health status, living arrangements, and closeness to kin. By far, the most critical determinants of receiving home care are age, health status, and whether the elderly are living alone or not. Although our results do not discard that access to kin have become more important, our results show that childlessness and geographical proximity to adult children play a minor role for differentials in the reception of home care. The main conduit for informal care instead takes the form of spousal support. Gender plays a role in how living arrangements influence the probability of receiving home care, where cohabiting women are significantly more likely to receive care than cohabiting men. We interpret this as a result of women, on average, being younger than their male partners and more easily adopting caregivers' roles. This gendered pattern is potentially explained by the persistence of more traditional gender roles prevailing in older cohorts.
{"title":"Retirement, Home Care and the Importance of Gender","authors":"A. Brändström, Glenn Sandström","doi":"10.51964/HLCS9589","DOIUrl":"https://doi.org/10.51964/HLCS9589","url":null,"abstract":"In recent decades elderly care policies in Sweden have been characterized by a marked shift from institutional care to home care. Previous research has highlighted how this has resulted in the elderly receiving care at a higher age and increased reliance on family and kin for providing care. Using register data for the entire Swedish population aged 65+ in 2016, we analyze how home care services in contemporary Sweden distribute regarding individual-level factors such as gender, health status, living arrangements, and closeness to kin. By far, the most critical determinants of receiving home care are age, health status, and whether the elderly are living alone or not. Although our results do not discard that access to kin have become more important, our results show that childlessness and geographical proximity to adult children play a minor role for differentials in the reception of home care. The main conduit for informal care instead takes the form of spousal support. Gender plays a role in how living arrangements influence the probability of receiving home care, where cohabiting women are significantly more likely to receive care than cohabiting men. We interpret this as a result of women, on average, being younger than their male partners and more easily adopting caregivers' roles. This gendered pattern is potentially explained by the persistence of more traditional gender roles prevailing in older cohorts.","PeriodicalId":73242,"journal":{"name":"Historical life course studies","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46102452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Trudy Cowley, L. Frost, K. Inwood, R. Kippen, Hamish Maxwell-Stewart, Monika Schwarz, J. Shepherd, Richard Tuffin, Mark Williams, John Wilson, Paul Wilson
This article describes the formation of The Tasmanian Historical Dataset a longitudinal data resource spanning the 19th and early 20th century. This resource contains over 1.6 million records drawn from digitised prison and hospital admission registers, military enlistment papers, births, deaths and marriages, census and muster records, arrival and departure lists, bank accounts and property valuations, maps and plans and meteorological observations. As well as providing an account of the many different sources that have been digitised coded and linked as part of this initiative, the article outlines current and past research uses to which this data has been put. Further information on tables and key variables is provided in an appendix.
{"title":"Reconstructing a Longitudinal Dataset for Tasmania","authors":"Trudy Cowley, L. Frost, K. Inwood, R. Kippen, Hamish Maxwell-Stewart, Monika Schwarz, J. Shepherd, Richard Tuffin, Mark Williams, John Wilson, Paul Wilson","doi":"10.51964/hlcs10912","DOIUrl":"https://doi.org/10.51964/hlcs10912","url":null,"abstract":"This article describes the formation of The Tasmanian Historical Dataset a longitudinal data resource spanning the 19th and early 20th century. This resource contains over 1.6 million records drawn from digitised prison and hospital admission registers, military enlistment papers, births, deaths and marriages, census and muster records, arrival and departure lists, bank accounts and property valuations, maps and plans and meteorological observations. As well as providing an account of the many different sources that have been digitised coded and linked as part of this initiative, the article outlines current and past research uses to which this data has been put. Further information on tables and key variables is provided in an appendix.","PeriodicalId":73242,"journal":{"name":"Historical life course studies","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70623946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sam Jenkinson, Francisco Anguita, Diogo Paiva, H. Matsuo, K. Matthijs
The Antwerp COR*-IDS database 2020 is a transformed and harmonized historical demographic database in a cross-nationally comparable format designed to be open and easy to use for international researchers. The database is constructed from the 2010 release of the Antwerp COR*-historical demographic database, which was created using a letter sample of the whole district of Antwerp (Flanders, Belgium). It has a total sample size of +/- 33,000 residents of Antwerp. The sample spans nearly seven decades. The data is collected from historical records: including population registers and vital registration records covering births, marriages, in/external migrations and deaths. The database covers up to three linked generations (in some cases more), and contains micro-data on individual level life courses, and relationships deriving from addressbased household composition methods. An important characteristic is the sample's large migrant population, including the timings of their demographic events and living arrangements, whilst resident in the district of Antwerp. In addition, the sample also contains a large array of occupational level information. This paper presents the processes, methodologies and documentation regarding the evaluation and development of a pre-existing historical database. This includes the systematic evaluation of the original samples, methodologies for address based reconstructing of households, and the geocoding of a historical database which took place during the current development of this new version of the database.
{"title":"The 2020 IDS Release of the Antwerp COR*-Database. Evaluation, Development and Transformation of a Pre-Existing Database","authors":"Sam Jenkinson, Francisco Anguita, Diogo Paiva, H. Matsuo, K. Matthijs","doi":"10.51964/HLCS9301","DOIUrl":"https://doi.org/10.51964/HLCS9301","url":null,"abstract":"The Antwerp COR*-IDS database 2020 is a transformed and harmonized historical demographic database in a cross-nationally comparable format designed to be open and easy to use for international researchers. The database is constructed from the 2010 release of the Antwerp COR*-historical demographic database, which was created using a letter sample of the whole district of Antwerp (Flanders, Belgium). It has a total sample size of +/- 33,000 residents of Antwerp. The sample spans nearly seven decades. The data is collected from historical records: including population registers and vital registration records covering births, marriages, in/external migrations and deaths. The database covers up to three linked generations (in some cases more), and contains micro-data on individual level life courses, and relationships deriving from addressbased household composition methods. An important characteristic is the sample's large migrant population, including the timings of their demographic events and living arrangements, whilst resident in the district of Antwerp. In addition, the sample also contains a large array of occupational level information. This paper presents the processes, methodologies and documentation regarding the evaluation and development of a pre-existing historical database. This includes the systematic evaluation of the original samples, methodologies for address based reconstructing of households, and the geocoding of a historical database which took place during the current development of this new version of the database.","PeriodicalId":73242,"journal":{"name":"Historical life course studies","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70623957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Lee-Campbell Group has spent forty years constructing and analysing individual-level datasets based largely on Chinese archival materials to produce a scholarship of discovery. Initially, we constructed datasets for the study of Chinese demographic behaviour, households, kin networks, and socioeconomic attainment. More recently, we have turned to the construction and analysis of datasets on civil and military officials and other educational and professional elites, especially their social origins and their careers. As of July 2020, the datasets include nominative information on the behaviour and life outcomes of approximately two million individuals. This article is a retrospective on the construction of these datasets and a summary of their findings. This is the first time we have presented all our projects together and discussed them and the results of our analysis as a single integrated whole. We begin by summarizing the contents, organization, and notable features of each dataset and provide an integrated history of our data construction, starting in 1979 up to the present. We then summarize the most important results from our research on demographic behaviour, family, and household organization, and more recently inequality and stratification. We conclude with a reflection on the importance of data discovery, flexibility, interaction and collaboration to the success of our efforts.
{"title":"Historical Chinese Microdata. 40 Years of Dataset Construction by the Lee-Campbell Research Group","authors":"C. Campbell, James Z. Lee","doi":"10.51964/HLCS9303","DOIUrl":"https://doi.org/10.51964/HLCS9303","url":null,"abstract":"The Lee-Campbell Group has spent forty years constructing and analysing individual-level datasets based largely on Chinese archival materials to produce a scholarship of discovery. Initially, we constructed datasets for the study of Chinese demographic behaviour, households, kin networks, and socioeconomic attainment. More recently, we have turned to the construction and analysis of datasets on civil and military officials and other educational and professional elites, especially their social origins and their careers. As of July 2020, the datasets include nominative information on the behaviour and life outcomes of approximately two million individuals. This article is a retrospective on the construction of these datasets and a summary of their findings. This is the first time we have presented all our projects together and discussed them and the results of our analysis as a single integrated whole. We begin by summarizing the contents, organization, and notable features of each dataset and provide an integrated history of our data construction, starting in 1979 up to the present. We then summarize the most important results from our research on demographic behaviour, family, and household organization, and more recently inequality and stratification. We conclude with a reflection on the importance of data discovery, flexibility, interaction and collaboration to the success of our efforts.","PeriodicalId":73242,"journal":{"name":"Historical life course studies","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47819911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. McCalman, R. Kippen, J. Mcmeeken, J. Hopper, M. Reade
As the world marks the centenaries of the First World War, we still know remarkably little about the life course effects of military service. This paper reports on the first iteration of a cradle-to-grave dataset of men who enlisted and served overseas in the First World War from the state of Victoria, Australia. It examines mortality during military service and in civilian life and finds that mortality in both cases was strongly correlated with individual characteristics. Tall men and young single men were more likely to die in the war. In civilian life, mortality followed closely the pattern for Australian men, and was again highly correlated with individual characteristics and social class.
{"title":"Early Results From the ‘Diggers to Veterans’ Longitudinal Study of Australian Men who Served in the First World War. Short- and Long-Term Mortality of Early Enlisters","authors":"J. McCalman, R. Kippen, J. Mcmeeken, J. Hopper, M. Reade","doi":"10.51964/hlcs9307","DOIUrl":"https://doi.org/10.51964/hlcs9307","url":null,"abstract":"\u0000 \u0000 \u0000As the world marks the centenaries of the First World War, we still know remarkably little about the life course effects of military service. This paper reports on the first iteration of a cradle-to-grave dataset of men who enlisted and served overseas in the First World War from the state of Victoria, Australia. It examines mortality during military service and in civilian life and finds that mortality in both cases was strongly correlated with individual characteristics. Tall men and young single men were more likely to die in the war. In civilian life, mortality followed closely the pattern for Australian men, and was again highly correlated with individual characteristics and social class. \u0000 \u0000 \u0000","PeriodicalId":73242,"journal":{"name":"Historical life course studies","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47023817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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