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Record W2125074405 · doi:10.26522/ssj.v8i2.1031

Getting to the CORE of the Chicago Teachers’ Union Transformation

2014· article· en· W2125074405 on OpenAlexaffvenue
Peter Brogan

Bibliographic record

VenueStudies in Social Justice · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsYork University
Fundersnot available
KeywordsAusterityGrassrootsUrbanismCapitalismSociologySituatedRight to the citySocial movementPolitical economyTrade unionPolitical sciencePublic administrationLawPoliticsEconomicsArchitectureHistory

Abstract

fetched live from OpenAlex

This article draws on a comparative study of urban change and rank-and-file teacher rebellion in New York City and Chicago, to explore the contemporary dynamics of what Jamie Peck (2013) calls “austerity urbanism” and its relationship to a rebirth of a social justice, grassroots teacher unionism in US urban centres. Tracing the trajectories of one group of rank-and-file teacher dissidents in Chicago, it argues that municipal unions are uniquely situated to lead the fight against austerity urbanism and the crisis tendencies of contemporary capitalism. To do this, however, trade unions will need to be reinvented and a different form of working class politic forged, grounded both in and outside of the trade union movement. Only then may we see organized labour in North America contribute to a movement for radical and systemic change, which is key to building a more socially just urbanism and society more broadly. The case of the Chicago teachers is highly instructive for activists, both inside and outside of the North American labour movement.

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)0.003
metaresearch head score (Gemma)0.004
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.206

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0210.026
Scholarly communication0.0100.005
Open science0.0010.009
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0110.001

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 head0.378
Teacher spread0.321 · 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

Citations36
Published2014
Admission routes2
Has abstractyes

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