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Record W1964772689 · doi:10.7202/029636ar

« Pour le meilleur et pour le pire »

2009· article· fr· W1964772689 on OpenAlexaffvenueabout
Jean‐Pierre Lavoie, Nicolas Rousseau

Bibliographic record

VenueEnfances Familles Générations · 2009
Typearticle
Languagefr
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsUniversité de MontréalCentre de Santé et de Services Sociaux de ChicoutimiCentre de Santé et de Services Sociaux Cavendish
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyArt

Abstract

fetched live from OpenAlex

Les conjoints sont de loin les principaux responsables et dispensateurs de soins aux personnes âgées avec incapacités. Pourtant, cet engagement semble ignoré tant par les professionnels que par la plupart des chercheurs qui semblent le tenir pour acquis. Cet article aborde la transition au soin et l’engagement des conjoints sous l’angle des enjeux identitaires, notamment l’identité assignée par la société, associée aux classements sociaux de conjoint et de genre, et l’identité que les conjoints âgés semblent s’attribuer. L’identité conjugale, telle que conçue par des répondants de trois générations de Québécois et les conjoints, est fondée sur un devoir de solidarité où contrat et confiance sont en jeu.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.261
Threshold uncertainty score0.519

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0170.018
Scholarly communication0.0070.006
Open science0.0010.007
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0190.004

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 head0.040
GPT teacher head0.384
Teacher spread0.344 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations8
Published2009
Admission routes3
Has abstractyes

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