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Record W4377004895 · doi:10.7202/1095895ar

Étude qualitative sur les facteurs qui contribuent à la décision d’un groupe de travailleurs seniors de se maintenir en emploi dans le secteur de l’éducation au Québec

2023· article· fr· W4377004895 on OpenAlexaffabout
Alessia Negrini, Jessica Dubé, Julie Hupé, Andrea Gragnano, Marc Corbière

Bibliographic record

VenueHumain et Organisation · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsUniversité du Québec à MontréalInstitut de recherche Robert-Sauvé en santé et en sécurité du travail
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Le secteur de l’éducation au Québec est caractérisé par la présence de travailleurs seniors âgés de 45 ans et plus et par le départ massif de baby-boomers. Cette étude de cas de nature qualitative a permis de constater que la culture organisationnelle non discriminante à l’égard de l’âge, le contenu du travail [p. ex., autonomie dans l’exécution des tâches, flexibilité des horaires], le soutien social et l’état de santé psychologique des travailleurs favorisent le maintien en emploi de 28 travailleurs seniors oeuvrant dans une commission scolaire québécoise. Le contexte de vie hors travail [p. ex., situation financière, état de santé du travailleur, pension du conjoint, charge familiale] contribue aussi au choix des participants de se maintenir en emploi jusqu’à la pleine pension.

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)0.012
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.506
Threshold uncertainty score0.983

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0070.004
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.203
GPT teacher head0.434
Teacher spread0.231 · 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 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

Citations1
Published2023
Admission routes2
Has abstractyes

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Same venueHumain et OrganisationSame topicRetirement, Disability, and EmploymentFrench-language works237,207