Hard Choices, Soft Law: Voluntary Standards in Global Trade, Environment and Social Governance
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
Hard Choices, Soft Law: Voluntary Standards in Global Trade, Environment and Social Governance , John J. Kirton and Michael Trebilcock, eds., Global Environmental Governance Series; Aldergate: Ashgate Publishing Limited, 2004, pp. xviii, 372. This book sheds considerable light on the new forms of “soft law” governance (voluntary standards and informal institutions) that are emerging out of the confluence of rationally calculated interests, intersubjectively shared norms, and entrenched structures of power in the global economy. It benefits greatly from the analytical framework and meticulous exposition provided by the editors, John Kirton and Michael Trebilcock, whose introductory chapter repays close reading. The remaining chapters of the book are grouped in four sections.
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 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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