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Record W4366606391 · doi:10.1093/indlaw/dwad008

The Future of Unions and Worker Representation: The Digital Picket Line

2023· article· en· W4366606391 on OpenAlexaffabout
Valerio De Stefano

Bibliographic record

VenueIndustrial Law Journal · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsYork University
Fundersnot available
KeywordsPicketingRepresentation (politics)PublishingPolitical scienceLine (geometry)Media studiesSociologyLawPolitics

Abstract

fetched live from OpenAlex

Journal Article The Future of Unions and Worker Representation: The Digital Picket Line Get access The Future of Unions and Worker Representation: The Digital Picket Line by Anthony Forsyth [Oxford, London, New York, New Delhi and Sidney: Hart Publishing, Bloomsbury Publishing Plc, 2022, 1 pp, ISBN 9781509924974] Valerio De Stefano Valerio De Stefano Osgoode Hall Law School, York University, Canada vdestefano@osgoode.yorku.ca Search for other works by this author on: Oxford Academic Google Scholar Industrial Law Journal, Volume 52, Issue 2, June 2023, Pages 503–506, https://doi.org/10.1093/indlaw/dwad008 Published: 21 April 2023 Article history Accepted: 27 March 2023 Published: 21 April 2023

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.940
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
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 head0.057
GPT teacher head0.329
Teacher spread0.272 · 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

Citations4
Published2023
Admission routes2
Has abstractyes

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