Who Made That?: Influencing Foreign Labour Practices through Reflexive Domestic Disclosure Regulation
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
An important tool of "decentred" regulation, including reflexive law, is corporate information disclosure. Disclosure regulation can have an important normative influence on corporate behaviour because it introduces a risk element that must be managed by corporate leaders. The challenge for regulators is to identify the scope of disclosure that will cause corporate responses of the sort desired by the state. This article considers the potential role of disclosure regulation as a tool for influencing labour practices beyond the borders of the regulating state and, in particular, within the vast global supply chains of multinational corporations. In the context of improving labour practices in developing states, the goal of regulation must be foremost the empowerment of the workers and their organizations in those states, and of the indigenous and emerging global social movements that assist them. The article examines three recent proposals for mandatory disclosure of information about global labour practices, and concludes that the least ambitious of them (disclosure of factory addresses) may contribute to this goal more effectively than broader proposals that seek to inject raw information about actual labour practices into the consumer and investor markets of advanced economic states.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.007 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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