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Record W2147644155 · doi:10.7202/010308ar

« Rats des villes et rats des champs » : populations urbaines et populations rurales du Québec au recensement de 1901

2004· article· fr· W2147644155 on OpenAlexvenueaboutno aff
Danielle Gauvreau

Bibliographic record

VenueCahiers québécois de démographie · 2004
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

Les données manuscrites du recensement de 1901, devenues disponibles depuis peu, sont utilisées ici pour cerner les principales caractéristiques de la population québécoise au tournant du XXe siècle. En cette période de transition démographique et d'urbanisation, les contrastes observés entre milieu rural agricole et milieu rural non agricole et entre milieux urbains de taille diverse permettent de mettre au jour certaines conséquences des phénomènes en cours : au plan démographique, des rapports de masculinité et des structures par âge variables selon les milieux, tout comme les niveaux des principales composantes démographiques et la composition des ménages ; au plan socioculturel, le caractère nettement plus homogène du milieu rural et son retard en matière d'alphabétisation ; enfin, au plan socioéconomique, des structures professionnelles contrastées dont la transformation en ville est synonyme, notamment, de possibilités d'emploi accrues pour les femmes et l'ensemble des migrants.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.029
GPT teacher head0.266
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2004
Admission routes2
Has abstractyes

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Same venueCahiers québécois de démographieSame topicCanadian Identity and HistoryFrench-language works237,207