Bibliographic record
Abstract
This book provides a set of proposals for how best to guarantee effective enforcement of labour rights worldwide. The linkage between labour standards and global trade has been recurrent for some 200 years. At a time when the world is struggling to find a way out of crisis and is striving for economic growth, more than ever there is a need for up-to-date research on how to protect and promote labour rights in the global economy. This book explores the history of the field and also provides an overview of emerging trends and opportunities. It discusses the most recent problems including: the effectiveness and the role of the International Labour Organization (ILO) in the second century of its existence, the World Trade Organization (WTO) and its potential relevance in the protection of labour rights, the effectiveness of the US and the EU Generalised System of Preferences, the impact of corporate social responsibility (CSR) instruments on labour rights, and labour provisions in the international trade agreements concluded by the US and the EU. The book argues, inter alia, that trade agreements seem to be a useful tool to help pave the way out of the crisis and that the United States–Mexico–Canada Agreement (USMCA) can be perceived as a model agreement and a symbol of a shift in perspective from long global supply chains to a focus on regional ones, local production, jobs and a rise in wages. The book will be essential reading for academics and students in the fields of human rights law, international labour law, industrial relations law, international sustainable development law, international economic law and international trade law. It will also be of interest to practitioners, non-government organisations (NGOs) and policy makers.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.014 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.022 | 0.004 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".