Revista Española de Empresas y Derechos Humanos
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
the Directive on corporate sustainability due diligence (Directive 2024/1760) entered into force.According to the European Commission, Member States have to transpose the Corporate Sustainability Due Diligence Directive (hereinafter CSDDD or Directive) into national law and communicate the relevant texts to the Commission by 26 July 2026.Meanwhile, member states of the UN have been gathering for the 10th time to discuss a potential international treaty on BHR that would, essentially, oblige the states that sign to implement mandatory human rights and environmental due diligence (hereinafter mHREDD) laws.Potential legislative initiatives on mHREDD are being discussed worldwide, including in Canada, Brazil, Colombia, South Korea, Tunisia and Mexico.This makes it an ideal time to evaluate the experiences of countries that have already implemented mHREDD laws.As BHR practitioners from France and Germany, our analysis highlights the experiences in these two countries: France, the global pioneer with its Duty of Vigilance Law (LdV) enacted in 2017, and Germany with the more recent implementation of its Supply Chain Due Diligence Act in 2021 (hereinafter LkSG).We publish a first summary of the most important aspects from our view, based on a larger article we published recently, that will be updated and complemented with new insights.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.048 | 0.013 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it