Regional Seminar on Mine Action in the Americas
Bibliographic record
Abstract
The third annual regional landmine action seminar entitled “En Camino Hacia un Hemisferio Libre de Minas Antipersonal,” hosted by the Government of Perú and sponsored by the Government of Canada and the Mine Action Program (AICMA, for its initials in Spanish) of the Organization of American States (OAS), was held at the Ministry of Foreign Affairs in Lima, Perú, on August 14–15 2003. The two-day gathering brought together over 100 mine action experts from 24 countries and more than a dozen regional and international organizations to discuss a wealth of mine action topics including, among others, the definition of national and regional priorities, mine clearance, mine risk education, victim assistance, and stockpile destruction. These topics allowed for a holistic discussion on mine action within the region and provided a forum for representatives of countries throughout the Americas to address issues concerning every facet of mine action, as well as the challenges they face in their countries. Most importantly, participants shared with regional counterparts their plans and projections through 2004. This was also the first of two opportunities to assist Ottawa Convention State Parties of the Americas to prepare for the 2004 Review Conference.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.029 | 0.005 |
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".