A global history of historical demography : half a century of interdisciplinarity
Bibliographic record
Abstract
Antoinette Fauve-Chamoux, Ioan Bolovan and Solvi Sogner: A Global History of Historical Demography. Time for an Anthology - Antoinette Fauve-Chamoux: Historical Demography and International Network Developments (1928-2010) - Dennis D. Cordell, Elizabeth Omoluabi and Nancy Stiegler: Historical Demography on Sub-Saharan Africa (1975 2010) - Hernan Otero: Historical Demography in Argentina - Rebecca Kippen and David Lucas: Sources for an Australian Interdisciplinary Historical Demography - Peter Teibenbacher and Gudrun Exner: A Short History of Historical Demography in Austria. From a Population Issue to Special Scientific Discipline - Dalia Leinarte, Andrejs Plakans and Toivo U. Raun: Historical Demography in the Baltic States (Lithuania, Latvia, Estonia) - Isabelle Devos and Christa Matthys: A History of Historical Demography in Belgium - Beatrice Craig: Historical Demography in Canada - Zhongwei Zhao: The Development of Chinese Historical Demography since 1950 - Ludmila Fialova and Eduard Maur: Historical Demography in the Czech Republic - Hans Chr. Johansen: Historical Demography in Denmark - Peter Kitson: A History of the Historical Demography of England and Wales - Beatrice Moring: Historical Demography in Finland 1960 2010 - Isabelle Seguy: The French School of Historical Demography (1950 2000): Strengths and Weaknesses - Rolf Gehrmann: Historical Demography in Germany - Violetta Hionidou: Historical Demography of Greek Populations - Tamas Farago: Historical Demography in Hungary: A History of Research - Olof Gardarsdottir: Historical Demography in Iceland, 1970-2011 - Ravindran Gopinath: Indian Historical Demography - Christopher M. Kennedy: History of Historical Demography in Ireland - Lucia Pozzi and Eugenio Sonnino: A History of Historical Demography in Italy - Akira Hayami: Historical Demography in Japan: Achievements and Problems - Kuentae Kim: Family Demography in Traditional Choson Korea: Survival Strategies of Families - Maria Luiza Marcilio: Historical Demography in Latin America: An Assessment - Agustin Grajales Porras: Mexican Historical Demography - Theo Engelen and Ad van der Woude: Historical Demography in the Netherlands - Solvi Sogner: Historical Demography in Norway 1960 2010 - Cezary Kuklo: Polish Historical Demography. Past, Present, Future - Maria Norberta Amorim and Paulo Teodoro de Matos: Historical Demography in Portugal (1950 2012) - Ioan Bolovan: Half a Century of Historical Demography in Romania (1960 2010) - Irina Troitskaia and Alexandre Avdeev: Historical Demography in Russia - Michael Anderson: Population History in Scotland: Opportunities Under-explored - Pavol Tisliar and Jan Golian: Historical Demography in Slovakia in the Last Fifty Years - Ofelia Rey Castelao: Historical Demography in Spain (1960 2011) - Lars-Goeran Tedebrand: Historical Demography in Sweden and its International Visibility - Anne-Lise Head-Koenig: From Statistics and Political Economy to Historical Demography. Two and a Half Centuries of Population Research in Switzerland - Emily R. Merchant and J. David Hacker: Historical Demography in United States - Index
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.014 |
| Science and technology studies | 0.005 | 0.018 |
| Scholarly communication | 0.009 | 0.013 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".