Anatole Romaniuc: pioneer in African demography
Bibliographic record
Abstract
Romaniuc's African ItineraryAnatole Romaniuc has devoted a great deal of his long professional and academic career to African demography -particularly to the Congo.He dedicated a full eight years (1953)(1954)(1955)(1956)(1957)(1958)(1959)(1960)(1961) in the Congo, primarily working on this country's first national census.From 1961 to 1964 he made his home at Princeton University, participating in The African Demographic Project, under the guidance of Ansley Coale and with such luminaries in the field as Frank Lorimer and William Brass.The team-work culminated in a comprehensive book, The Demography of Tropical Africa (Princeton University Press, 1968).After joining the Faculty of the University of Ottawa in 1964 as Professor in Demography, A. Romaniuc continued to devote much of his time to research on African demography.His major work, La fécondité des populations congolaises, appeared in 1967.His list of publications grew with a number of articles and papers on Africa even as he assumed a new role and focus at Statistics Canada.Most notably, he presented his paper, Polygamy and Kinship in Tropical Africa: A Demographer's View, at the African Population Conference in Dakar in 1988, during his tenure as Director of the Demography Division at Statistics Canada.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".