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Record W2008154196 · doi:10.1177/0160449x13486700

Raising Retail

2013· article· en· W2008154196 on OpenAlexafffundabout
Kendra Coulter

Bibliographic record

VenueLabor Studies Journal · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsBrock University
FundersBrock University
KeywordsDevaluationRaising (metalworking)Strengths and weaknessesWork (physics)MarketingBusinessRetail salesEngineeringPsychologyFinance

Abstract

fetched live from OpenAlex

Retail workers are a significant but largely unorganized group in Canada and the United States. However, in recent years, there has been a marked increase in efforts to organize retail workers, including pursuit of innovative structures and strategies. The author focuses on the dominant threads of contemporary retail organizing work in Canada and the United States, outlining three current organizing vehicles: unionization, store-based networks, and occupation or sector-based associations. The author then reflects on the strengths, weaknesses, and possibilities of these approaches, independently and collectively, and emphasizes the need to confront the social and cultural as well as the economic devaluation of retail workers.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.077
Threshold uncertainty score0.236

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.003
Scholarly communication0.0100.004
Open science0.0020.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0710.011

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 head0.073
GPT teacher head0.364
Teacher spread0.290 · 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 designObservational
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

Citations12
Published2013
Admission routes3
Has abstractyes

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