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Record W2168080424 · doi:10.1177/103530461102200208

Collective Bargaining as a Minimum Employment Standard

2011· article· en· W2168080424 on OpenAlexaffabout
Roy J. Adams

Bibliographic record

VenueThe Economic and Labour Relations Review · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsMcMaster UniversityUniversity of Saskatchewan
Fundersnot available
KeywordsCollective bargainingBargaining powerEconomicsEquity (law)Government (linguistics)Collective agreementLabour economicsIndustrial relationsInequalityPublic economicsPolitical scienceMicroeconomicsLawManagement

Abstract

fetched live from OpenAlex

Abstract Throughout the English-speaking world, collective bargaining has commonly been considered to be an option for workers discontent with the default system of management-determined conditions of work. In this article it is argued that, as a universally acclaimed human right, collective bargaining should be considered a minimum condition for everyone employed under standardised conditions of work. The government policy of offering workers a choice to bargain or to refrain from bargaining, in effect in countries such as the United States, Canada and the United Kingdom, does not meet that standard. Just as the equity goal of governments is the absence of inequality based on traits such as sex and colour, the government bargaining policy goal should be universal collective bargaining. Anything short of universality should be considered a social problem in search of a more effective policy solution.

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)0.017
metaresearch head score (Gemma)0.015
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.012
Scholarly communication0.0060.005
Open science0.0030.004
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.035
GPT teacher head0.300
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 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

Citations13
Published2011
Admission routes2
Has abstractyes

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