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Record W2023631126 · doi:10.7202/050774ar

Research Needs in Canadian Industrial Relations: Emerging from the Solitudes

2005· article· en· W2023631126 on OpenAlexvenueaboutno aff
Mark Thompson

Bibliographic record

VenueRelations industrielles · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsIndustrial relationsNegotiationFragmentation (computing)Work (physics)Labor relationsSociologyFocus (optics)Labour lawEconomic geographyPolitical scienceLaw and economicsLawEconomicsSocial scienceEngineeringComputer science

Abstract

fetched live from OpenAlex

To focus this discussion, "industrial relations" is defined as the organizations and processes through which wages, hours and conditions of work are determined for employees who are represented collectively. This definition excludes topics such as labour history, labour economics and labour law, frequently incorporated into industrial relations research, but separate here. Research should address and attempt to explain the significant features of Canadianindustrial relations, as well as provide the bases for predictions of the future. The distinguishing features of the Canadian industrial relations System for these purposes are its fragmentation, extensive legal regulation and pattern of strikes. Research needs should be based on this description of Canadian industrial relations, including the environment of the System, major actors within it, the processes of industrial relations and the results of negotiation.

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)0.048
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.745
Threshold uncertainty score0.864

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0480.041
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0130.030
Science and technology studies0.0280.021
Scholarly communication0.0180.012
Open science0.0040.010
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0090.001

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 head0.096
GPT teacher head0.360
Teacher spread0.264 · 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 designTheoretical or conceptual
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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