Chemicals, Environment, Health: A Global Management Perspective
Bibliographic record
Abstract
David Downie is a contributing author, "The Vienna Convention, Montreal Protocol and Global Policy to Protect Stratospheric Ozone”. Book description: Chemicals, Environment, Health: A Global Management Perspective presents an overview of the noteworthy conferences, organizations, and international treaties that focus on chemicals management and policy. It takes into account special challenges faced by developing countries regarding chemicals safety. From the Stockholm Conference to follow-ups in Rio and Johannesburg, it provides concise coverage of a vast swath of information. It highlights pivotal agreements such as the Basel, Rotterdam, and Stockholm Conventions, the more expansive Strategic Approach to International Chemicals Management, as well as key regional agreements such as the European Union’s REACH legislation. The book includes invited essays in areas such as emergencies and financing instruments, and offers a clear look at future challenges and opportunities. Written by a team of authors from all continents, with backgrounds in international organizations, national governments, academia, industry, and NGOs, the book reflects a wide experience from a multitude of perspectives.
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 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 | 0.000 | 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 | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".