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Record W2037403259 · doi:10.7202/050604ar

L'effet du développement de la petite entreprise sur l'évolution du syndicalisme au Canada

2005· article· fr· W2037403259 on OpenAlexvenueaboutno aff
Jean‐Michel Cousineau, Elmustapha Najem

Bibliographic record

VenueRelations industrielles · 2005
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicFirm Innovation and Growth
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Au Canada, l'apparente stabilité du mouvement syndical dissimule une tendance de fond au déclin du syndicalisme dans le secteur privé. En complément des hypothèses traditionnellement avancées pour expliquer le déclin dans les taux de syndicalisation, les auteurs ont eu l'idée de vérifier l'incidence du développement de la petite entreprise sur l'évolution des effectifs syndicaux dans quatre grands sous-secteurs du secteur privé de l'économie canadienne. Pour ce faire, ils ont eu recours à un modèle économétrique de détermination des effectifs syndicaux tenant compte de l'influence de l'emploi, du chômage, de la densité syndicale déjà atteinte et de la politique de contrôle des prix et des revenus. Dans un modèle dont le degré d'explication s'est avéré passablement élevé, l'influence du développement de la petite entreprise s'est montrée significative et telle qu'attendue, uniquement dans le sens où ce développement caractérise principalement une part importante et croissante des nouveaux emplois créés.

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)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.240

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.000

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 head0.015
GPT teacher head0.202
Teacher spread0.187 · 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

Citations0
Published2005
Admission routes2
Has abstractyes

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