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Record W1878551247 · doi:10.1177/001979391006300402

First Contract Arbitration: Effects on Bargaining and Work Stoppages

2010· article· en· W1878551247 on OpenAlexaboutno aff
Susan Johnson

Bibliographic record

VenueIndustrial and Labor Relations Review · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationNegotiationArbitrationCollective bargainingBusinessWork (physics)IncentiveCollective agreementGood faithLaw and economicsCompulsory arbitrationLabour economicsLawPolitical scienceEconomicsMarket economyEngineering

Abstract

fetched live from OpenAlex

Newly certified unions often experience difficulty negotiating a first agreement. To remedy this, the Employee Free Choice Act proposes that the National Labor Relations Act provide for first contract arbitration (FCA). Using a panel of Canadian jurisdictions that have introduced FCA legislation at different times over several decades, the author addresses three questions: (1) How does this legislation affect the incidence of first agreement work stoppages? (2) Does FCA encourage or discourage collective bargaining in the negotiation of first agreements? (3) Does FCA influence the duration of first agreement work stoppages? The author finds that the presence of FCA legislation reduces first agreement work stoppage incidence by at least 50 percent, yet unions make use of FCA infrequently and first contracts are rarely imposed by third parties. Together these results suggest that FCA encourages collective bargaining by creating an incentive for the parties to bargain in good faith and negotiate an agreement. Finally, FCA legislation has no statistically significant impact on the duration of first agreement work stoppages.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.935
Threshold uncertainty score0.651

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.303
Teacher spread0.270 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations15
Published2010
Admission routes1
Has abstractyes

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