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Record W4384120850 · doi:10.1017/s0714980823000223

Les retraités au Canada : portrait comparatif selon le statut d’immigrant

2023· article· fr· W4384120850 on OpenAlexafffundabout
Rafael Silva-Ramirez, Yves Carrière, Alain Gagnon

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsUniversité de Montréal
FundersFonds de Recherche du Québec-Société et CultureUniversité de MontréalCentre de Recherche et d’Expertise en Gérontologie Sociale
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

La retraite au Canada a fait l'objet de plusieurs recherches, mais peu d'études ont comparé le passage de la vie active à la retraite des natifs et des immigrants ainsi que leurs caractéristiques une fois à la retraite, une lacune importante compte tenu de l'augmentation de la part des immigrants parmi les futures cohortes canadiennes de retraités. Cette étude descriptive vise à pallier cette lacune à l'aide des données de l'Enquête sociale générale de 2016. Les résultats montrent, entre autres, que les femmes et les hommes natifs ont plus de chances de prendre leur retraite que les immigrants, quel que soit le groupe d'âge étudié, et que l'âge moyen à la retraite des femmes et hommes immigrants est de deux ans supérieur à celui des natifs. Cette étude suggère que le statut d'immigrant implique une transition vers la retraite différente de celle vécue par les natifs ; différence qui devrait être considérée dans la structure du système de revenus de 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)0.003
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 score0.036
Threshold uncertainty score0.259

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0050.009
Science and technology studies0.0090.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.080
GPT teacher head0.314
Teacher spread0.234 · 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

Citations0
Published2023
Admission routes3
Has abstractyes

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Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicRetirement, Disability, and EmploymentFrench-language works237,207