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Record W2041759562 · doi:10.3917/riges.362.0044

Les relations entreprises-communautés aux yeux des syndicats : défis à relever et voies à privilégier

2011· article· fr· W2041759562 on OpenAlexvenueaboutno aff
Johanne Deschamps, Isabelle Ménard

Bibliographic record

VenueGestion · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Résumé Outre la création d’emplois et l’amélioration des conditions de travail, les syndicats s’investissent de plus en plus dans le développement durable des régions et dans les relations entre les entreprises et les communautés. Cet article propose une synthèse des propos colligés au cours d’une entrevue menée auprès de Johanne Deschamps, conseillère politique, Fédération des travailleurs et travailleuses du Québec (FTQ), et d’Isabelle Ménard, conseillère syndicale, Service des relations du travail, Prévention-SSE, Confédération des syndicats nationaux (CSN). Selon ces deux conseillères, quatre facteurs nuisent aux relations entre les entreprises et les communautés locales : le transfert de propriété des entreprises du Québec à des étrangers, le faible ancrage territorial des entreprises, la volonté des dirigeants d’implanter rapidement les projets et la tendance de ces derniers à confondre relations communautaires et relations publiques. Puis, Mesdames Deschamps et Ménard proposent trois types d’initiatives en vue de stimuler et de renouveler les relations entreprises-communautés avec lesquelles les syndicats sont généralement favorables : l’établissement de filières industrielles pour créer de la valeur, l’adoption d’alliances fondées sur un accord gagnant-gagnant et la mise en place de structures visant la maximisation des retombées locales. L’article se termine par la formulation de cinq conseils visant à accroître la valeur pour les entreprises, les communautés locales et les travailleurs. Fonctions : management, GRH, RT, économie

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)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.620
Threshold uncertainty score0.764

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0130.014
Scholarly communication0.0070.003
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.000

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 head0.129
GPT teacher head0.343
Teacher spread0.214 · 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
Published2011
Admission routes2
Has abstractyes

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