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Record W4393860725 · doi:10.1017/bhj.2024.7

Economic Diplomacy and Home State Responsibility for Human Rights Abuses Involving Extractive Industries Abroad: The Case of Canada

2024· article· en· W4393860725 on OpenAlexaffabout
David Szablowski

Bibliographic record

VenueBusiness and Human Rights Journal · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsYork University
Fundersnot available
KeywordsHuman rightsAccountabilityDiplomacyState (computer science)Corporate social responsibilityPolitical scienceWork (physics)International human rights lawLawPublic administrationLaw and economicsPublic relationsSociologyPoliticsEngineering

Abstract

fetched live from OpenAlex

Abstract The debate over home state responsibility for human rights has focused on how home states might use accountability mechanisms to promote respect for human rights among their businesses abroad. However, a set of activists and researchers have opened a new front on the question of home state responsibility by focusing on the activities of Canadian diplomats providing advice and consular services to extractive firms abroad. This work documents how home states can be directly implicated in business and human rights controversies and how home state diplomats can put human rights defenders at increased risk. This paper outlines the growing body of research on the hidden influence of Canadian economic diplomacy in human rights controversies, suggesting a troubling disregard for corporate social responsibility and human rights concerns in these contexts, and making the case for robust accountability mechanisms to influence the conduct of both corporate actors and diplomatic officials.

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)0.005
metaresearch head score (Gemma)0.008
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 score0.125
Threshold uncertainty score0.909

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0440.022
Scholarly communication0.0100.002
Open science0.0020.007
Research integrity0.0060.008
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 head0.024
GPT teacher head0.320
Teacher spread0.296 · 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

Citations4
Published2024
Admission routes2
Has abstractyes

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