Pesticides: Health impacts and alternatives. Proceedings of a workshop held in Colombo, 24 January 2002
Bibliographic record
Abstract
The International Water Management Institute (IWMI) has, for many years, been involved in research on pesticide poisoning to analyse the reasons for the high number of pesticide poisoning cases in Sri Lanka and discuss ways of controlling the problem through changes in agricultural practices and community involvement. More recently, research has focused on risk factors for deliberate and occupational pesticide poisoning and on the impact that a shift towards Integrated Pest Management (IPM) will have on the health of farming families. A workshop on ?Pesticides: Health Impacts and Alternatives? was held at the Colombo Hilton Hotel on 24 January 2002. The workshop marked the end of IWMI?s research on pesticide poisoning in Sri Lanka and provided researchers and policy makers from various disciplines such as health, environment, and agriculture an opportunity to share and discuss recent findings and to discuss strategies to reduce pesticide poisoning. This paper presents the workshop proceedings and includes a resource handbook for Sri Lanka on health impacts of pesticides and alternatives by listing names of relevant institutes, addresses and annotated references.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.003 |
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".