Pub Date : 2022-01-11DOI: 10.1080/01615440.2021.2018373
R. Bennett, L. Hannah
Abstract Newly available digital resources from the British census identify employers and their workforce size. However, there was a non-response rate of about 2.3% for smaller firms, rising to over 10% for firms over about 300 employees, and higher for the largest manufacturing firms. Non-responses are largely random except for different forms of business organization: significantly higher for corporates, and lower for unincorporated enterprises, but with no significant differences between partnerships and sole proprietors. Proprietor age is also significant. Non-response derives from defective census design and administration. Transcription truncations are also evaluated, which are higher for the largest firms, and vary by sector and position in the response string. Guidance to researchers on weighting and robust estimation strategies are presented for dealing with these limitations.
{"title":"British employer census returns in new digital records 1851–81; consistency, non-response, and truncation – what this means for analysis","authors":"R. Bennett, L. Hannah","doi":"10.1080/01615440.2021.2018373","DOIUrl":"https://doi.org/10.1080/01615440.2021.2018373","url":null,"abstract":"Abstract Newly available digital resources from the British census identify employers and their workforce size. However, there was a non-response rate of about 2.3% for smaller firms, rising to over 10% for firms over about 300 employees, and higher for the largest manufacturing firms. Non-responses are largely random except for different forms of business organization: significantly higher for corporates, and lower for unincorporated enterprises, but with no significant differences between partnerships and sole proprietors. Proprietor age is also significant. Non-response derives from defective census design and administration. Transcription truncations are also evaluated, which are higher for the largest firms, and vary by sector and position in the response string. Guidance to researchers on weighting and robust estimation strategies are presented for dealing with these limitations.","PeriodicalId":154465,"journal":{"name":"Historical Methods: A Journal of Quantitative and Interdisciplinary History","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128916291","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}
Pub Date : 2022-01-02DOI: 10.1080/01615440.2021.2010153
Diana Thomas, Gail E. S. Yoshitani, Dusty S Turner, Ajay Hariharan, S. Bhutani, D. B. Allison, A. Moniz, S. Heymsfield, D. Schoeller, H. Hull, D. Fields
Abstract In the United States, recent studies have demonstrated weight gain over Thanksgiving contributing to a significant portion of annual national weight gain. Understanding the social context of how Thanksgiving celebrations were perceived is critical for preventing and reducing excess weight during this time. Energy intake from present-day data was back-calculated from body weight data collected in participants before and after Thanksgiving. Similar calculations were performed in studies that also included Christmas. A Latent Dirichlet Allocation analysis of topics scraped from Twitter under the hashtag #thanksgiving was performed. The top topics and search queries from Google Trends on Thanksgiving 2020 were also identified. Since 1621, the social context of Thanksgiving has evolved from a focus on prayer and celebrated gratitude to a focus on food, football, and retail. What is served on Thanksgiving and its energy content has not substantially changed since the late 18th century. On the other hand, body weights and mean energy intake have steadily increased over time with the most rapid increases occurring since 1941. The shift in the social context of Thanksgiving and other factors of an existing obesogenic environment have likely combined to generate increased energy intake and weight gain during Thanksgiving.
{"title":"Overflowing tables: Changes in the energy intake and the social context of Thanksgiving in the United States","authors":"Diana Thomas, Gail E. S. Yoshitani, Dusty S Turner, Ajay Hariharan, S. Bhutani, D. B. Allison, A. Moniz, S. Heymsfield, D. Schoeller, H. Hull, D. Fields","doi":"10.1080/01615440.2021.2010153","DOIUrl":"https://doi.org/10.1080/01615440.2021.2010153","url":null,"abstract":"Abstract In the United States, recent studies have demonstrated weight gain over Thanksgiving contributing to a significant portion of annual national weight gain. Understanding the social context of how Thanksgiving celebrations were perceived is critical for preventing and reducing excess weight during this time. Energy intake from present-day data was back-calculated from body weight data collected in participants before and after Thanksgiving. Similar calculations were performed in studies that also included Christmas. A Latent Dirichlet Allocation analysis of topics scraped from Twitter under the hashtag #thanksgiving was performed. The top topics and search queries from Google Trends on Thanksgiving 2020 were also identified. Since 1621, the social context of Thanksgiving has evolved from a focus on prayer and celebrated gratitude to a focus on food, football, and retail. What is served on Thanksgiving and its energy content has not substantially changed since the late 18th century. On the other hand, body weights and mean energy intake have steadily increased over time with the most rapid increases occurring since 1941. The shift in the social context of Thanksgiving and other factors of an existing obesogenic environment have likely combined to generate increased energy intake and weight gain during Thanksgiving.","PeriodicalId":154465,"journal":{"name":"Historical Methods: A Journal of Quantitative and Interdisciplinary History","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126706501","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}
Pub Date : 2022-01-02DOI: 10.1080/01615440.2021.2014376
Alvaro La Parra-Perez, Félix-Fernando Muñoz, Nadia Fernández-de-Pinedo
Abstract Since the cliometric revolution, the future of economic history has been discussed in relation to its supposedly increasing integration with economics and other disciplines. Any well-grounded argument in this regard would require a quantitative and qualitative analysis of the scientific production of economic historians in recent decades. This article provides a systematic method for collecting and analyzing the scientific production—in the form of indexed articles—of a broad and representative sample of authors who identify themselves as economic historians. From this sample, we have built EconHist, a relational database that contains the bibliometric information provided by Scopus, and the biographical information from authors’ curricula vitae between 1980 and 2019. Finally, we show the opportunities and difficulties related to the design and development of such a database.
{"title":"EconHist: a relational database for analyzing the evolution of economic history (1980–2019)","authors":"Alvaro La Parra-Perez, Félix-Fernando Muñoz, Nadia Fernández-de-Pinedo","doi":"10.1080/01615440.2021.2014376","DOIUrl":"https://doi.org/10.1080/01615440.2021.2014376","url":null,"abstract":"Abstract Since the cliometric revolution, the future of economic history has been discussed in relation to its supposedly increasing integration with economics and other disciplines. Any well-grounded argument in this regard would require a quantitative and qualitative analysis of the scientific production of economic historians in recent decades. This article provides a systematic method for collecting and analyzing the scientific production—in the form of indexed articles—of a broad and representative sample of authors who identify themselves as economic historians. From this sample, we have built EconHist, a relational database that contains the bibliometric information provided by Scopus, and the biographical information from authors’ curricula vitae between 1980 and 2019. Finally, we show the opportunities and difficulties related to the design and development of such a database.","PeriodicalId":154465,"journal":{"name":"Historical Methods: A Journal of Quantitative and Interdisciplinary History","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123677717","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}
Pub Date : 2021-08-13DOI: 10.1080/01615440.2023.2198272
D. Clarke, Manuel Llorca Jaña, Daniel Pailañir
Abstract Quantile regression and quantile treatment effect methods are powerful econometric tools for considering economic impacts of events or variables of interest beyond the mean. The use of quantile methods allows for an examination of impacts of some independent variable over the entire distribution of continuous dependent variables. Measurement in many quantitative settings in economic history have as a key input continuous outcome variables of interest. Among many other cases, human height and demographics, economic growth, earnings and wages, and crop production are generally recorded as continuous measures, and are collected and studied by economic historians. In this paper we describe and discuss the broad utility of quantile regression for use in research in economic history, review recent quantitative literature in the field, point to potential limits in its use, and provide an illustrative example of the use of these methods based on 20,000 records of human height measured across 50-plus years in the 19th and 20th centuries. We suggest that, despite limitations in certain settings, there is still considerably more room in the literature on economic history to convincingly and productively apply quantile regression methods.
{"title":"The use of quantile methods in economic history","authors":"D. Clarke, Manuel Llorca Jaña, Daniel Pailañir","doi":"10.1080/01615440.2023.2198272","DOIUrl":"https://doi.org/10.1080/01615440.2023.2198272","url":null,"abstract":"Abstract Quantile regression and quantile treatment effect methods are powerful econometric tools for considering economic impacts of events or variables of interest beyond the mean. The use of quantile methods allows for an examination of impacts of some independent variable over the entire distribution of continuous dependent variables. Measurement in many quantitative settings in economic history have as a key input continuous outcome variables of interest. Among many other cases, human height and demographics, economic growth, earnings and wages, and crop production are generally recorded as continuous measures, and are collected and studied by economic historians. In this paper we describe and discuss the broad utility of quantile regression for use in research in economic history, review recent quantitative literature in the field, point to potential limits in its use, and provide an illustrative example of the use of these methods based on 20,000 records of human height measured across 50-plus years in the 19th and 20th centuries. We suggest that, despite limitations in certain settings, there is still considerably more room in the literature on economic history to convincingly and productively apply quantile regression methods.","PeriodicalId":154465,"journal":{"name":"Historical Methods: A Journal of Quantitative and Interdisciplinary History","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116575535","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}
Pub Date : 2021-08-09DOI: 10.1080/01615440.2021.1937421
Victor Gay
Abstract This article describes a comprehensive geographic information system of Third Republic France: the TRF-GIS. It provides annual nomenclatures and shapefiles of administrative constituencies of metropolitan France from 1870 to 1940, encompassing general administrative constituencies (départements, arrondissements, cantons) as well as the most significant special administrative constituencies: military, judicial and penitentiary, electoral, academic, labor inspection, and ecclesiastical constituencies. It further proposes annual nomenclatures at the contemporaneous commune level that map each municipality into its corresponding administrative framework along with its population count. The 901 nomenclatures, 830 shapefiles, and complete reproduction material of the TRF-GIS are available at https://dataverse.harvard.edu/dataverse/TRF-GIS.
{"title":"Mapping the Third Republic: A Geographic Information System of France (1870–1940)","authors":"Victor Gay","doi":"10.1080/01615440.2021.1937421","DOIUrl":"https://doi.org/10.1080/01615440.2021.1937421","url":null,"abstract":"Abstract This article describes a comprehensive geographic information system of Third Republic France: the TRF-GIS. It provides annual nomenclatures and shapefiles of administrative constituencies of metropolitan France from 1870 to 1940, encompassing general administrative constituencies (départements, arrondissements, cantons) as well as the most significant special administrative constituencies: military, judicial and penitentiary, electoral, academic, labor inspection, and ecclesiastical constituencies. It further proposes annual nomenclatures at the contemporaneous commune level that map each municipality into its corresponding administrative framework along with its population count. The 901 nomenclatures, 830 shapefiles, and complete reproduction material of the TRF-GIS are available at https://dataverse.harvard.edu/dataverse/TRF-GIS.","PeriodicalId":154465,"journal":{"name":"Historical Methods: A Journal of Quantitative and Interdisciplinary History","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126195132","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}
Pub Date : 2021-07-16DOI: 10.1080/01615440.2021.1952915
Pierre Lack
Abstract Happiness economics theorizes that economic growth is only tenuously connected to happiness. This article tests this theory on historical evidence by quantifying the trend in emotional well-being (EWB) of British men during the period of rapid industrialization between 1800 and 1900, using a digitized corpus of 19,682 pamphlets published in Britain during this period and held by JSTOR. EWB is measured between these years using a sentiment analysis method of quantifying the frequency over time of a set of positive-valence (“happy”) word groups relative to negative-valence (“sad”) word groups in the corpus, finding that it remains trendless throughout. This method thereby also provides insight into the quality of life of men during the Industrial Revolution.
{"title":"Using word analysis to track the evolution of emotional well-being in nineteenth-century industrializing Britain","authors":"Pierre Lack","doi":"10.1080/01615440.2021.1952915","DOIUrl":"https://doi.org/10.1080/01615440.2021.1952915","url":null,"abstract":"Abstract Happiness economics theorizes that economic growth is only tenuously connected to happiness. This article tests this theory on historical evidence by quantifying the trend in emotional well-being (EWB) of British men during the period of rapid industrialization between 1800 and 1900, using a digitized corpus of 19,682 pamphlets published in Britain during this period and held by JSTOR. EWB is measured between these years using a sentiment analysis method of quantifying the frequency over time of a set of positive-valence (“happy”) word groups relative to negative-valence (“sad”) word groups in the corpus, finding that it remains trendless throughout. This method thereby also provides insight into the quality of life of men during the Industrial Revolution.","PeriodicalId":154465,"journal":{"name":"Historical Methods: A Journal of Quantitative and Interdisciplinary History","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125101208","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}
Pub Date : 2021-07-03DOI: 10.1080/01615440.2020.1832007
Rowena Gray, Rocco Bowman
Abstract There is a dearth of systematic information about the historical New York City housing market. We present a new sample containing rental price and characteristic data for 10,715 Manhattan units which was collected from historical newspapers for the period 1880–1910. These units were geolocated to the historical map of Manhattan Island to explore their geographic coverage, using Geographic Information System (GIS) software. We use this new sample to plot the evolution of the location and quality of available Manhattan housing units and the development of new neighborhoods. This complements existing research on the growth of New York City and the evolution of the ethnic composition of neighborhoods across Census years, as we show information at annual frequency during this time of high growth for the city.
{"title":"Locating the Manhattan housing market: GIS evidence for 1880-1910","authors":"Rowena Gray, Rocco Bowman","doi":"10.1080/01615440.2020.1832007","DOIUrl":"https://doi.org/10.1080/01615440.2020.1832007","url":null,"abstract":"Abstract There is a dearth of systematic information about the historical New York City housing market. We present a new sample containing rental price and characteristic data for 10,715 Manhattan units which was collected from historical newspapers for the period 1880–1910. These units were geolocated to the historical map of Manhattan Island to explore their geographic coverage, using Geographic Information System (GIS) software. We use this new sample to plot the evolution of the location and quality of available Manhattan housing units and the development of new neighborhoods. This complements existing research on the growth of New York City and the evolution of the ethnic composition of neighborhoods across Census years, as we show information at annual frequency during this time of high growth for the city.","PeriodicalId":154465,"journal":{"name":"Historical Methods: A Journal of Quantitative and Interdisciplinary History","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114886743","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}
Pub Date : 2021-07-02DOI: 10.1080/01615440.2021.1939826
B. Dedinger, Paul Girard
Abstract Answering the question “how many countries are there in the world?” turns out to be more complex than it seems, as there is currently no quantitative tool dedicated to this issue. Starting from the lists of national political units created by the instigators of the Correlates of War project, we have built a dataset and visual documentation that identifies the political status, whether sovereign or non-sovereign, of the geopolitical entities of the world from 1816 to the present. This paper aims to present the new dataset, GeoPolHist, by explaining the conceptual and methodological issues raised by the construction of this type of dataset as well as the scientific interest of such data for research on the political history of the world or on the impact of political status.
{"title":"How many countries in the world? The geopolitical entities of the world and their political status from 1816 to the present","authors":"B. Dedinger, Paul Girard","doi":"10.1080/01615440.2021.1939826","DOIUrl":"https://doi.org/10.1080/01615440.2021.1939826","url":null,"abstract":"Abstract Answering the question “how many countries are there in the world?” turns out to be more complex than it seems, as there is currently no quantitative tool dedicated to this issue. Starting from the lists of national political units created by the instigators of the Correlates of War project, we have built a dataset and visual documentation that identifies the political status, whether sovereign or non-sovereign, of the geopolitical entities of the world from 1816 to the present. This paper aims to present the new dataset, GeoPolHist, by explaining the conceptual and methodological issues raised by the construction of this type of dataset as well as the scientific interest of such data for research on the political history of the world or on the impact of political status.","PeriodicalId":154465,"journal":{"name":"Historical Methods: A Journal of Quantitative and Interdisciplinary History","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134270617","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}
Pub Date : 2021-03-24DOI: 10.1080/01615440.2021.1906809
Kara Dimitruk
Abstract Political coalitions and their interaction with the Crown were central to political dynamics in England from 1660 to 1715. This paper introduces a new database of political affiliations of Members of Parliament (MPs), compiled from contemporary parliamentary lists, from 1660 to 1690. It uses the database to construct a measure of the majority Court or Opposition coalition in the House of Commons. It shows the majority coalition became increasingly cohesive during this period. It then uses the database to produce similar measures of majority coalition strength across constituencies to study the evolution of constituency support for coalitions from 1660 to 1715. The main findings suggest the Glorious Revolution of 1688 led to a significant break in constituency support for political groups. An analysis of constituency coalition preferences during periods of polarization like the Exclusion Crisis (1679–1681) shows constituency support pre-1688 was in part shaped in the absence of general elections and that Dissenters were an important base for the first Whigs in 1679.
{"title":"Political coalitions in the House of Commons, 1660–1690: New data and applications","authors":"Kara Dimitruk","doi":"10.1080/01615440.2021.1906809","DOIUrl":"https://doi.org/10.1080/01615440.2021.1906809","url":null,"abstract":"Abstract Political coalitions and their interaction with the Crown were central to political dynamics in England from 1660 to 1715. This paper introduces a new database of political affiliations of Members of Parliament (MPs), compiled from contemporary parliamentary lists, from 1660 to 1690. It uses the database to construct a measure of the majority Court or Opposition coalition in the House of Commons. It shows the majority coalition became increasingly cohesive during this period. It then uses the database to produce similar measures of majority coalition strength across constituencies to study the evolution of constituency support for coalitions from 1660 to 1715. The main findings suggest the Glorious Revolution of 1688 led to a significant break in constituency support for political groups. An analysis of constituency coalition preferences during periods of polarization like the Exclusion Crisis (1679–1681) shows constituency support pre-1688 was in part shaped in the absence of general elections and that Dissenters were an important base for the first Whigs in 1679.","PeriodicalId":154465,"journal":{"name":"Historical Methods: A Journal of Quantitative and Interdisciplinary History","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126010248","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}
Pub Date : 2021-01-27DOI: 10.1080/01615440.2020.1853643
J. Nicholls, Bernard Allaire, Poul Holm
Abstract We apply a novel methodology to the study of the Newfoundland cod fisheries in order to determine a reasoned and acceptable chronological value series for total catch amounts in the early modern period where data are scarce. The paper focuses on the two main protagonists in the Newfoundland fisheries arena in that period: France and England. The period 1675–1790 has been selected as a viable and representative chronology for a case study where data, while available in part, are limited and often missing. The new methodology proposed here enables further exploration, input and assessment such that an ever-greater level of accuracy, integrity and robustness may be achieved in future.
{"title":"The Capacity Trend Method: A new approach for enumerating the Newfoundland cod fisheries (1675–1790)","authors":"J. Nicholls, Bernard Allaire, Poul Holm","doi":"10.1080/01615440.2020.1853643","DOIUrl":"https://doi.org/10.1080/01615440.2020.1853643","url":null,"abstract":"Abstract We apply a novel methodology to the study of the Newfoundland cod fisheries in order to determine a reasoned and acceptable chronological value series for total catch amounts in the early modern period where data are scarce. The paper focuses on the two main protagonists in the Newfoundland fisheries arena in that period: France and England. The period 1675–1790 has been selected as a viable and representative chronology for a case study where data, while available in part, are limited and often missing. The new methodology proposed here enables further exploration, input and assessment such that an ever-greater level of accuracy, integrity and robustness may be achieved in future.","PeriodicalId":154465,"journal":{"name":"Historical Methods: A Journal of Quantitative and Interdisciplinary History","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114958533","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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