Constraints to Implementing International Agreements: The Case of the Montreal Protocol in Botswana
Bibliographic record
Abstract
This study addresses the difficulties surrounding effective implementation of the Montreal Protocol in Botswana and provides a general understanding of how best we might advise policy makers when implementing international agreements in the developing world. A questionnaire survey administered to both the formal and informal users of Ozone Depleting Substances (ODSs) revealed that disseminated information on ODSs has little effect on choices that users make about refrigerant gases and this information is skewed in favor of the conventional users of ODSs. As a result, annual statistics of ODS use are probably underestimated. Difficulties exist in changing from old to new technologies in the short term due to high costs associated with the change over. The infrastructure to recover gases and to dispose of unusable hardware is absent or inadequate. Solutions to these difficulties include a comprehensive policy that caters for all users of ODSs and the integration of economic and environmental aspirations.
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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 | 0.023 | 0.060 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.014 | 0.007 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 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 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".