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World Cities and Union Renewal

2007· article· en· W2001064767 on OpenAlexaff
Steven Tufts

Bibliographic record

VenueGeography Compass · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsTrent University
Fundersnot available
KeywordsScope (computer science)Context (archaeology)Internationalism (politics)Industrial democracyPolitical economyIndustrial RevolutionPolitical scienceDemocracyNarrativeSociologyEconomyEconomic geographyEconomic systemEconomicsGeographyPoliticsLaw

Abstract

fetched live from OpenAlex

Abstract This article discusses how interpretive accounts and practices of labour union renewal in the Anglo‐American context are linked to the forms of post‐industrialism and polarized labour markets evident in world cities. I accordingly argue that the world city is implicated in various components of union renewal, including changing organizational structures, intensive organizing, leadership and democracy, coalition building, new labour internationalism, and labour‐management cooperation. Furthermore, the influence of the world city can limit both the scope and scale of the union renewal narratives and practices. The article concludes with a call for the union renewal project to expand beyond world city frameworks and explore multiple sectors and spaces.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0060.015
Scholarly communication0.0110.003
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.013
GPT teacher head0.276
Teacher spread0.263 · 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 designQualitative
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
Published2007
Admission routes1
Has abstractyes

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