{"title":"计算机化人口登记的最新进展。","authors":"F. Nault, B. Desjardins","doi":"10.1080/01615440.1988.9955277","DOIUrl":null,"url":null,"abstract":"This paper focuses on the present methodology of computerized population registers and on the possible next generation of such systems. For these registers to survive their founders and serve multiple purposes they must be designed as evolving (as opposed to static) entities; the central element of such an approach would be a dynamic updating facility. In our view this poses a major challenge to both demographers and computer scientists. The paper is based on experience with the reconstitution of the Quebec population from 1608-1760 which was undertaken by the Research Program in Historical Demography at the University of Montreal. (EXCERPT)","PeriodicalId":45535,"journal":{"name":"Historical Methods","volume":"21 1","pages":"29-33"},"PeriodicalIF":1.6000,"publicationDate":"1988-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/01615440.1988.9955277","citationCount":"8","resultStr":"{\"title\":\"Recent advances in computerized population registers.\",\"authors\":\"F. Nault, B. Desjardins\",\"doi\":\"10.1080/01615440.1988.9955277\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focuses on the present methodology of computerized population registers and on the possible next generation of such systems. For these registers to survive their founders and serve multiple purposes they must be designed as evolving (as opposed to static) entities; the central element of such an approach would be a dynamic updating facility. In our view this poses a major challenge to both demographers and computer scientists. The paper is based on experience with the reconstitution of the Quebec population from 1608-1760 which was undertaken by the Research Program in Historical Demography at the University of Montreal. (EXCERPT)\",\"PeriodicalId\":45535,\"journal\":{\"name\":\"Historical Methods\",\"volume\":\"21 1\",\"pages\":\"29-33\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"1988-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/01615440.1988.9955277\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Historical Methods\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1080/01615440.1988.9955277\",\"RegionNum\":2,\"RegionCategory\":\"历史学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HISTORY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Historical Methods","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1080/01615440.1988.9955277","RegionNum":2,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HISTORY","Score":null,"Total":0}
Recent advances in computerized population registers.
This paper focuses on the present methodology of computerized population registers and on the possible next generation of such systems. For these registers to survive their founders and serve multiple purposes they must be designed as evolving (as opposed to static) entities; the central element of such an approach would be a dynamic updating facility. In our view this poses a major challenge to both demographers and computer scientists. The paper is based on experience with the reconstitution of the Quebec population from 1608-1760 which was undertaken by the Research Program in Historical Demography at the University of Montreal. (EXCERPT)
期刊介绍:
Historical Methodsreaches an international audience of social scientists concerned with historical problems. It explores interdisciplinary approaches to new data sources, new approaches to older questions and material, and practical discussions of computer and statistical methodology, data collection, and sampling procedures. The journal includes the following features: “Evidence Matters” emphasizes how to find, decipher, and analyze evidence whether or not that evidence is meant to be quantified. “Database Developments” announces major new public databases or large alterations in older ones, discusses innovative ways to organize them, and explains new ways of categorizing information.