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Record W4390607911 · doi:10.61959/x190507b

Les aidants en emploi au Canada : Recueil de fiches infographiques

2023· report· fr· W4390607911 on OpenAlexafffundabout
Jane Fast, Andrew Magnaye, Jacquie Eales, Choong Kim

Bibliographic record

Venuenot available
Typereport
Languagefr
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsUniversity of AlbertaStatistics Canada
FundersAGE-WELL
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

Nous sommes heureux d’annoncer la parution de notre toute dernière copublication sur les aidants en emploi au Canada, produite en partenariat avec le Programme de recherche sur les politiques et les pratiques relatives au vieillissement (RAPP). Ce recueil présente six fiches infographiques, chacune offrant un aperçu de divers aspects de la prestation de soins, ainsi que de la valeur et de la contribution des aidants familiaux au Canada. Les fiches infographiques présentées dans cette ressource mettent en relief l’importante contribution des aidants en emploi au bien-être de leur famille, à leur milieu de travail ainsi qu’à la société dans son ensemble. Elles démontrent en outre que le soutien aux aidants en emploi présente des avantages pour les entreprises, l’accès à des modalités de travail flexibles étant favorable à la fidélisation des talents, à la réduction des coûts de rotation du personnel, et plus encore.

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)0.005
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.057
Threshold uncertainty score0.149

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0080.013
Science and technology studies0.0080.002
Scholarly communication0.0050.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.452
GPT teacher head0.471
Teacher spread0.018 · 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

Citations0
Published2023
Admission routes3
Has abstractyes

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