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Record W2918586853 · doi:10.25071/1705-1436.191

Training for Labour’s Professionals

2002· article· fr· W2918586853 on OpenAlexvenueaboutno aff
Tom Nesbit

Bibliographic record

VenueJust Labour · 2002
Typearticle
Languagefr
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyArt

Abstract

fetched live from OpenAlex

This article addresses an issue arising from a comparative study of the nature of education and training for Canadian full-time union staff and officials. The specific question is how can education for union officials address both the social and the servicing demands placed on them? The article locates the discussion about such training within the contexts of existing approaches to labour education and current debates about the revitalization of the labour movement. It concludes with a call for more systematic discussion of these issues and further analysis of different programmatic training models. Cet article porte sur une question découlant d’une étude comparative de la nature de l’éducation et de la formation données aux dirigeants et dirigeantes et membres du personnel à plein temps des syndicats au Canada. La question est celle de savoir comment l’on peut voir à ce que la formation donnée à ces « cadres » syndicaux leur permette de répondre aux exigences sociales et de prestation de services qui leur sont imposées. L’article place cette formation dans le contexte des approches actuelles d’éducation syndicale et du débat au sujet de la revitalisation du mouvement syndical. Il se termine par un appel à un examen plus méthodique de ces questions et à une analyse plus poussée de différents modèles de programmes de formation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.914
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0170.000

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 head0.126
GPT teacher head0.372
Teacher spread0.245 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2002
Admission routes2
Has abstractyes

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