{"title":"Conceptual Ambiguity in Coding the Categories of Peace Agreement and Peace Process","authors":"Yoav Kapshuk","doi":"10.1515/peps-2020-0003","DOIUrl":null,"url":null,"abstract":"Abstract Within the field of peace and conflict studies, data-production on peace agreements has rapidly increased. One complicated task for scholars and practitioners alike is understanding the relationships between peace agreements and the relationships between agreements and processes. For example, discerning when an agreement establishes continuity with previous agreements and, thus, belongs to the same peace process or when an agreement signals the start of a new peace process is not straightforward. In this study, I highlight what appears to be a fuzzy boundary for categorizing some disciplinary core concepts which, in turn, can cause our data to be unreliable. As a point of comparison, I investigate how two major peace agreement datasets – UCDP Peace Agreement Dataset and PA-X Peace Agreement Dataset – associate peace agreements with peace processes and find differences and ambiguities with respect to how they are coded in both databases. As a result of such inconsistencies, analyses drawn from these data can have different outputs and lead to misunderstandings about peace processes. Here, I demonstrate the disciplinary need for clearer principles to effectively associate peace agreements with peace processes and then argue for developing a disciplinary standard for the criteria used to operationalize peace processes. Crucially, a standard method for aggregating agreements into processes will facilitate consistent data production across databases.","PeriodicalId":44635,"journal":{"name":"Peace Economics Peace Science and Public Policy","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/peps-2020-0003","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Peace Economics Peace Science and Public Policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/peps-2020-0003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"POLITICAL SCIENCE","Score":null,"Total":0}
引用次数: 1
Abstract
Abstract Within the field of peace and conflict studies, data-production on peace agreements has rapidly increased. One complicated task for scholars and practitioners alike is understanding the relationships between peace agreements and the relationships between agreements and processes. For example, discerning when an agreement establishes continuity with previous agreements and, thus, belongs to the same peace process or when an agreement signals the start of a new peace process is not straightforward. In this study, I highlight what appears to be a fuzzy boundary for categorizing some disciplinary core concepts which, in turn, can cause our data to be unreliable. As a point of comparison, I investigate how two major peace agreement datasets – UCDP Peace Agreement Dataset and PA-X Peace Agreement Dataset – associate peace agreements with peace processes and find differences and ambiguities with respect to how they are coded in both databases. As a result of such inconsistencies, analyses drawn from these data can have different outputs and lead to misunderstandings about peace processes. Here, I demonstrate the disciplinary need for clearer principles to effectively associate peace agreements with peace processes and then argue for developing a disciplinary standard for the criteria used to operationalize peace processes. Crucially, a standard method for aggregating agreements into processes will facilitate consistent data production across databases.
期刊介绍:
The journal accepts rigorous, non-technical papers especially in research methods in peace science, but also regular papers dealing with all aspects of the peace science field, from pure abstract theory to practical applied research. As a guide to topics: - Arms Control and International Security - Artificial Intelligence and Cognitive Studies - Behavioral Studies - Conflict Analysis and Management - Cooperation, Alliances and Games - Crises and War Studies - Critical Economic Aspects of the Global Crises - Deterrence Theory - Empirical and Historical Studies on the Causes of War - Game, Prospect and Related Theory - Harmony and Conflict - Hierarchy Theory