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Record W4226173306 · doi:10.4000/rdctss.2658

The double standard at work: European Corporate investment and workers’ rights in the American South

2021· article· fr· W4226173306 on OpenAlexaboutno aff
Lance A Compa

Bibliographic record

VenueRevue de droit comparé du travail et de la sécurité sociale · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsMultinational corporationCollective bargainingDue diligenceQuarter (Canadian coin)Freedom of associationForeign direct investmentWork (physics)Investment (military)International tradeBusinessEuropean unionLabour economicsPolitical scienceMarket economyEconomicsHuman rightsLawFinanceEngineeringGeography

Abstract

fetched live from OpenAlex

Multinational corporations based in Europe have accelerated their foreign direct investment in the Southern states of the United States in the past quarter-century. In their home countries, European companies investing in the American South generally respect international norms on freedom of association and collective bargaining. But in their Southern U.S. operations, some companies launch aggressive anti-union campaigns and resist collective bargaining when workers form unions. This is a failure of due diligence for which firms should be held accountable.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.011
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.021
GPT teacher head0.266
Teacher spread0.245 · 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 designNot applicable
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

Citations3
Published2021
Admission routes1
Has abstractyes

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