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Record W4402917748 · doi:10.26443/mje/rsem.v58i2.9998

L’insertion socioprofessionnelle de travailleurs autochtones au sein d’une organisation non autochtone : caractéristiques et effets d’une expérience d’accompagnement en stage

2024· article· fr· W4402917748 on OpenAlexaffvenueabout
Émilie Deschênes

Bibliographic record

VenueMcGill Journal of Education / Revue des sciences de l éducation de McGill · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversité du Québec en Abitibi-Témiscamingue
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

L’insertion socioprofessionnelle des travailleurs autochtones au sein d’organisations québécoises, notamment celle encadrée par ententes régionales ou nationales, présente plusieurs obstacles. Le cas rapporté dans ce texte porte sur la description des caractéristiques et des effets d’une pratique d’accompagnement en insertion socioprofessionnelle qu’Hydro-Québec a mis en place afin de contrer ses obstacles : un stage avec coaching pour les travailleurs cris. La nature de la recherche commandait l’élaboration d’un cadre dans lequel pouvaient s’articuler des méthodologies de recherche occidentale conventionnelle en sciences humaines et d’autres, autochtones, qui sont présentées particulièrement. Enfin, des résultats suggèrent que l’expérience s’est révélée extrêmement complexe dans sa mise en œuvre, notamment en lien avec des aspects des relations interculturelles, que l’accompagnement du coach a su minimiser.

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)0.005
metaresearch head score (Gemma)0.014
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 score0.773
Threshold uncertainty score0.451

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.008
Scholarly communication0.0060.003
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.257
GPT teacher head0.455
Teacher spread0.199 · 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

Citations0
Published2024
Admission routes3
Has abstractyes

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