Designing national pesticide legislation
Bibliographic record
Abstract
International and national legal frameworks governing the trade and use of pesticides have undergone significant changes over the last twenty years. The International Code of Conduct on the Distribution and Use of Pesticides, the Rotterdam Convention, the Stockholm Convention, the Basel Convention and the Montreal Protocol are only some of the binding and non-binding international instruments applicable to part or all of the life cycle of a pesticide. Specific guidelines for implementation are often available from the secretariat of the applicable international instrument, but comprehensive guidance is generally lacking. Governments need a clear picture of their international obligations as well as guidance on the accepted international consensus on the proper management of pesticides. Upgraded national legislation is needed to align national frameworks with international norms. This text aims to provide governments wishing to design, reform or update their national legislation with up-to-date advice on all aspects of pesticide management. Although the recommendations for national legislative change are designed to be useful to all countries, the text highlights the particular problems faced by developing countries and countries in transition, offering practical solutions to common problems. Also published in Spanish.
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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 | 0.035 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.015 | 0.007 |
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".