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Record W4391758328 · doi:10.54648/ijcl2024004

Modern Slavery in Liner Shipping: An Empirical Analysis of Corporate Statements

2024· article· en· W4391758328 on OpenAlexaff
Maxim Usynin

Bibliographic record

VenueInternational Journal of Comparative Labour Law and Industrial Relations · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicLaw, logistics, and international trade
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsBusinessAccounting

Abstract

fetched live from OpenAlex

Forced labour is a widespread risk for workers in the shipping industry. Traditional approaches to tackling the problem rely on the rules of flag state and port state jurisdiction, leaving a significant margin of political discretion in dealing with violations of labour rights. This article examines whether private enforcement mechanisms in the form of tort actions can play a role in securing the labour rights of workers and providing them with access to remedies. Following recent case law, it examines the possibility of enforcing the duty of care as stated in the company materials, in particular the growing number of corporate annual reports. The article relies on empirical material, consisting of the statements published by shipping companies under the UK Modern Slavery Act [MSA]. In addition to the descriptive observations on compliance, the study carries out a content analysis of the statements, seeking to identify the patterns of reporting and industry best practices. The final part of the article examines whether corporate undertakings as laid down in modern slavery statements can serve as grounds for tort liability. Based on the empirical data, the study concludes that the statements provide insufficient grounds for holding companies liable for labour rights violations. Modern Slavery, Forced Labour, Liner Shipping, Annual Reports, Published Materials, Private Enforcement, Supply Chain Liability

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.651
Threshold uncertainty score0.454

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.225
GPT teacher head0.399
Teacher spread0.174 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations1
Published2024
Admission routes1
Has abstractyes

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