Workshop Report from the 33rd Workshop of the Pugwash Study Group on the Implementation of the Chemical and Biological Weapons Conventions: 'Achieving realistic decisions at the seventh BWC review conference in 2011'
Bibliographic record
Abstract
This workshop was hosted by the Association Suisse de Pugwash in association with the Geneva International Peace Research Institute GIPRI. The meeting was supported by a grant provided by the Swiss federal authorities. \n \nThe workshop took place immediately prior to the Seventh Review Conference on the operation of the Biological Weapons Convention (BWC) in December 2011. It was attended by 57 participants, all by invitation and in their personal capacities, from 17 countries including, Australia, Canada, China, Germany, Hungary, India, Iran, Italy, Japan, New Zealand, the Russian Federation, Sweden, Switzerland, the Netherlands, the United Kingdom (UK), the United States of America (USA) and Ukraine. This report is the sole responsibility of its author, who was asked to prepare a brief account of the proceedings of the meeting in consultation with the Steering Committee. It does not necessarily reflect a consensus of the workshop as a whole, nor of the Study Group. The workshop was strictly governed by the Chatham House Rule, so reference to specific speakers is not detailed here.
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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 | 0.022 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.075 | 0.027 |
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".