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Record W3176764412 · doi:10.3917/pp.052.0067

Transition démographique en cours, transitions professionnelles et organisationnelles à accomplir : le cas du Québec

2021· article· fr· W3176764412 on OpenAlexaffabout
Yves Couturier, Paul Wankah, David Lanneville, Ibrahima Diallo, Louise Belzile

Bibliographic record

VenuePensée plurielle · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

La situation du Québec et celle des pays de l’Afrique francophone se différencient à nombre d’égards, tant sur les plans démographique qu’économique. Malgré ces différences, tous ces pays partagent un même défi fondamental, soit la nécessité d’ajuster l’offre de services de santé et sociaux à la transition démographique découlant du vieillissement global de leur population. Si la démographie québécoise présente une transition quasiment accomplie, l’ajustement des services de santé et sociaux aux besoins actuels de la population demeure néanmoins en cours. L’article introduira la situation démographique québécoise puis exposera les choix qui président à la transition conceptuelle puis fonctionnelle de l’organisation des services de santé et sociaux au Québec. En conclusion, il esquissera quelques leçons importantes que le lecteur africain pourra éventuellement transférer vers son contexte.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.648
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.019
GPT teacher head0.287
Teacher spread0.268 · 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 teacher head, not a consensus.

Study designQualitative
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

Citations0
Published2021
Admission routes2
Has abstractyes

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