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Record W3089975794 · doi:10.15173/glj.v11i3.4173

Capital Comes North: Exploring the Discursive Challenges to International Solidarity among Nickel Miners in Sudbury, Ontario

2020· article· en· W3089975794 on OpenAlexaffvenueabout
Adam D.K. King

Bibliographic record

VenueGlobal Labour Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsYork University
Fundersnot available
KeywordsSolidarityMultinational corporationFraming (construction)Cognitive reframingScholarshipGender studiesSociologyPolitical scienceIdentity (music)Political economyGeographyLawSocial psychology

Abstract

fetched live from OpenAlex

This article draws on twenty-six qualitative interviews with rank-and-file United Steelworkersnickel miners in Sudbury, Ontario. It analyses some of the challenges to building internationalsolidarity at Brazilian-based multinational mining firm Vale. Engaging with labour geography andlabour movement renewal scholarship, the article explores how identity formation andinstitutional structures interact to shape workers’ understandings of their interests and capacities.In particular, it considers the impact of national identity as it arose in response to the issue offoreign ownership during the interviews. The findings suggest that attempts by the union todiscursively reframe workers’ struggle against their new multinational employer have yet to fullycontend with the persistence of spatially bound forms of working-class identity and interestsamong workers in the sample.KEYWORDS: international solidarity; discursive framing; spatial interests; national identity; nickel mining

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)0.004
metaresearch head score (Gemma)0.006
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 score0.130
Threshold uncertainty score0.334

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0330.020
Scholarly communication0.0070.003
Open science0.0020.008
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.048
GPT teacher head0.286
Teacher spread0.237 · 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

Citations2
Published2020
Admission routes3
Has abstractyes

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