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Record W2776249309 · doi:10.1177/0160449x17747397

Workplace Gains beyond the Wagner Act: The New York Taxi Workers Alliance and Participation in Administrative Rulemaking

2017· article· en· W2776249309 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLabor Studies Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsQueen's University
Fundersnot available
KeywordsRulemakingAllianceCollective bargainingContext (archaeology)NegotiationCollective actionWork (physics)Labour lawPublic administrationBargaining powerBusinessPublic relationsPolitical scienceLabour economicsEconomicsLawPoliticsEngineering

Abstract

fetched live from OpenAlex

Workers in traditional employment relationships have long relied on unionization and collective bargaining to counter unequal power relationships in the workplace and improve the terms and conditions of their work. Within the North American context, however, workers in select industries or with select employment status are legally excluded from this paradigm and unable to access basic labor law protections. This article examines historic gains made by the New York Taxi Workers Alliance to improve the work experience of yellow cab drivers through collective participation in the City of New York’s Administrative Rulemaking process. Exploring examples, including the 2003/2004 meter increase, Driver’s Bill of Rights, and the Drivers’ Benefit Fund, I argue that in the absence of a collective bargaining agreement, administrative rulemaking can provide both a site for negotiation about the content and structure of work, and can be employed to uphold the rights and gains made through workers’ collective action.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.273
Threshold uncertainty score0.996

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 studies0.0060.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.116
GPT teacher head0.431
Teacher spread0.316 · 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