Bibliographic record
Abstract
no longer be published in print form.It will continue instead as an Open Access electronic journal, freely available to anyone in the world.Canadian Studies in Population was founded in 1974 by Professor P. Krishnan at the Population Research Laboratory, University of Alberta.Throughout these 38 years, CSP has served as the principal publication of the Canadian Population Society, and continues its activity as the leading demographic publication in English Canada.Many important works have appeared in Canadian Studies in Population by authors from Canada and elsewhere in the world.Indeed, CSP prides itself as being a truly international outlet for population scholars.Among its many contents over the years, I may mention the inaugural volume of 1974, which contains articles by such eminent scholars as Kingsley Davis, Nathan Keyfitz, and Roland Pressat.In subsequent issues, one finds contributions by other leading demographers-including Ansley Coale, Norman Ryder, Alfred Sauvy, and Joseph J. Spengler.Seven special issues of Canadian Studies in Population have been printed.The first, published in 1987, featured ten of the many works that comprised the Review of Demography and its Implications for Economic and Social Policy, commissioned by Hon.Jake Epp, who at that time was the Minister of National Health and Welfare.Special issues in subsequent years were devoted to Family Demography ( 2000), Longitudinal Methodology (2001), Migration and Globalization (2002), and a series of essays in honour of Anatole Romaniuk (2003), Karol J. Krotki (2009), and Nathan Keyfitz and Norman B. Ryder (2010).Two more special issues are currently in progress: Studies in Historical Mortality and Immigration and the Life Course.I am delighted to announce that recently Thompson Reuters accepted Canadian Studies in Population for indexing in the Web of Science sm , the largest and most comprehensive citation index available.All articles published in CSP since 2009 (starting with Vol.36, No. 1-2) will be indexed and abstracted in the Social Science Citation Index ® , Journal Citation Reports/Social Sciences Edition, and in Current Contents ® /Social and Behavioral Sciences.This is an important development which will help to further enhance CSP 's visibility and scholarly impact as a scientific publication.I thank wholeheartedly the many colleagues who over the years have devoted their valuable time to review articles for Canadian Studies in Population.I also wish to express my gratitude to the members of the editorial board of CSP for their continued support.The diligent and expert assistance of Abu Sadat Nurullah, Kamrul Islam, Donna Fong, and Ksenia Maryniak in the editorial office is gratefully appreciated.Further, I would be remiss if
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.023 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.057 | 0.047 |
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".