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Record W1886913589 · doi:10.3917/gs.107.0049

Les personnes âgées aujourd'hui et demain

2003· article· fr· W1886913589 on OpenAlexaffabout
Hervé Gauthier, Sylvie Jean, Yves Nobert, Georges Langis

Bibliographic record

VenueGérontologie et société · 2003
Typearticle
Languagefr
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsUniversité du Québec à MontréalQuebec Statistical Institute
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

L’étude des générations actuellement dans la seconde moitié de leur vie adulte annoncent les changements à venir dans les caractéristiques des personnes âgées. Cinq aspects des conditions de vie sont abordés: l’éducation, la participation au marché du travail, le revenu, la préparation financière à la retraite et la consommation. Parmi les tendances favorables aux conditions de vie des personnes âgées de demain, observées à la fois au Québec et en France, on note la hausse du niveau d’éducation, la progression de la participation des femmes sur le marché du travail et l’amélioration du revenu. Les revenus ont progressé davantage chez les personnes âgées que chez les autres groupes d’âge; l’écart entre retraités et actifs a été plus réduit en France. Il est à prévoir que les modifications aux régimes de retraite et aux programmes publics, adoptées dans les dernières années, ou envisagées, auront des effets à long terme sur le revenu des retraités et sur l’âge de la retraite.

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)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score0.343

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.137
GPT teacher head0.469
Teacher spread0.333 · 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
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
Published2003
Admission routes2
Has abstractyes

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