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Problematizing Labour's Agency: Rescaling Collective Bargaining in British Columbia Pulp and Paper Mills

2012· article· en· W2063940024 on OpenAlexafffundabout
Brendan Sweeney, John Holmes

Bibliographic record

VenueAntipode · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsQueen's University
FundersUniversité de Montréal
KeywordsRestructuringCollective bargainingAgency (philosophy)Port (circuit theory)Trade unionSociologyEconomyPolitical economyEconomicsPolitical scienceLawLabour economicsSocial scienceEngineering

Abstract

fetched live from OpenAlex

Abstract: This paper focuses on the contradictory nature and sometimes unintended consequences of workers’ efforts to defend particular communities against the ravages of capital restructuring. In the past decade, pattern collective bargaining in the highly unionized British Columbia pulp and paper industry has faced enormous strains due to intense industry restructuring. Our analysis focuses on the repercussions of actions taken by union locals in two British Columbia towns—Port Alice and Port Alberni—to try to secure the survival of their pulp and paper mills and, even in the case of Port Alice, the continued existence of the community. Our analysis resonates with recent debates surrounding worker agency as well as writing in the 1980s which addressed the often contradictory and problematic nature of workers’ struggles to “defend place”; writing largely neglected in more recent work in labour geography.

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)0.008
metaresearch head score (Gemma)0.011
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 score0.333
Threshold uncertainty score0.671

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0250.025
Scholarly communication0.0120.003
Open science0.0020.008
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.017
GPT teacher head0.271
Teacher spread0.254 · 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

Citations11
Published2012
Admission routes3
Has abstractyes

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