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Record W7133510914 · doi:10.5604/01.3001.0055.6582

Administrative procedures adopted in the EU Regulation 2024/3015 on prohibiting products made with forced labour on the Union market: The most recent EU response to human rights violations

2025· article· W7133510914 on OpenAlexaboutno aff
Robert Siuciński

Bibliographic record

VenueStudia Administracji i Bezpieczeństwa · 2025
Typearticle
Language
FieldSocial Sciences
TopicDigital Economy and Work Transformation
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Labour lawEuropean unionHuman rightsLabor relationsMember states

Abstract

fetched live from OpenAlex

The new EU Regulation 2024/3015 on prohibiting products made with forced labour on the Union market was published in the Official Journal of the European Union on December 12, 2024 and shall apply from December 14, 2027 (except for the several enumerated articles which apply from December 13, 2024). The author puts forward the hypothesis that the regulation fits into the global trend to combat the use of a widespread forced labour in the world. Other acts adopted in this context include e.g.: the Fighting Against Forced Labour and Child Labour in Supply Chains Act (Canada), the Uyghur Forced Labor Prevention Act (United States), the “Modern Slavery Act 2015” (United Kingdom) and the “Modern Slavery Act” (Australia). The aim of this paper is to analyse and critically assess the administrative procedures adopted in the EU regulation, assuming that particular attention will be paid to “investigations”, “decisions”, and “enforcement” issues. The author tests the hypothesis that the regulation fits into the third generation administrative procedures.

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)0.037
metaresearch head score (Gemma)0.057
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: none
Teacher disagreement score0.037
Threshold uncertainty score0.194

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0370.057
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0020.003
Science and technology studies0.0060.008
Scholarly communication0.0180.004
Open science0.0040.005
Research integrity0.0300.013
Insufficient payload (model declined to judge)0.0030.002

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 head0.026
GPT teacher head0.306
Teacher spread0.280 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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