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Record W2073748609 · doi:10.7202/050673ar

Les stratégies des entreprises québécoises en matière de formation

2005· article· fr· W2073748609 on OpenAlexvenueaboutno aff
Pierre Doray

Bibliographic record

VenueRelations industrielles · 2005
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Au cours des dernières années, les questions relatives au développement de la formation en entreprise ont suscité un regain d'intérêt. Les appels lancés auprès des directions d'entreprise afin d'investir dans la formation de leur personnel se sont faits plus nombreux et plus pressants. Un tel investissement s'avère un gage de compétitivité et d'avenir. L'entreprise du 3e type investit en formation. L'orientation récente des politiques gouvernementales en matière de formation professionnelle des adultes va dans le sens d'un soutien à la formation en entreprise. Dans le présent article, l'auteur décrit l'état de développement de la formation en entreprise. Pour ce faire, il procède moins à un portrait statistique de la situation qu'à une analyse plus qualitative portant sur les usages que les firmes industrielles font des investissements en formation. S'appuyant sur une enquête menée dans quelques grandes entreprises du Québec, il présente une typologie des différents modes de relations construits entre la formation et le travail.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score0.579

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.004
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.054
GPT teacher head0.301
Teacher spread0.248 · 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

Citations5
Published2005
Admission routes2
Has abstractyes

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Same venueRelations industriellesSame topicSocial Sciences and GovernanceFrench-language works237,207