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Record W4226320496 · doi:10.4135/9781544391199.n224

Labor Unions in Media

2022· reference-entry· en· W4226320496 on OpenAlexaboutno aff

Bibliographic record

VenueThe SAGE Encyclopedia of Journalism · 2022
Typereference-entry
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsLabour economicsEconomics

Abstract

fetched live from OpenAlex

Media workers encompass employees, freelance and contract contributors, interns, and apprentices in journalism, including newsroom workers—reporters, editors, photographers, and videographers—and workers in the production, printing, advertising, and circulation departments. A labor union is a collective organization that workers form to protect their interests and rights in the workplace. A craft union is a model of unionism in which workers organize around a particular trade, such as reporters or print workers, while an industrial union represents workers across an industry regardless of trade or skill. Media workers in the United States, Canada, and the United Kingdom have long organized labor unions to improve their pay rates, benefits, working conditions, and training programs; defend their rights in the workplace; and respond to technological change

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.093
Threshold uncertainty score0.311

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0110.005
Scholarly communication0.0170.009
Open science0.0010.006
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0930.015

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 head0.019
GPT teacher head0.292
Teacher spread0.274 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2022
Admission routes1
Has abstractyes

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