Taking a Stand: Exploring the Role of the Scientists prior to the First Pugwash Conference on Science and World Affairs, 1957
Bibliographic record
Abstract
In 1957, a small group of world-renown scientists gathered in Pugwash, Nova Scotia to discuss the growing threat of nuclear arms. Funded by industrialist Cyrus Eaton and spearheaded by philosopher Bertrand Russell and physicist Joseph Rotblat, this 1957 meeting founded an organization of scientists that believed they had a duty to speak out against escalating nuclear testing and what they saw as the irresponsible use of science. However, not every scientist felt that it was appropriate to take a public and political stand. This paper gives a brief history of the Pugwash movement and how its first meeting came to be held in Pugwash, Nova Scotia. The perspectives of involved scientists are examined, contrasting the attitudes of participants in the conference with the attitudes of scientists who declined a public role. This paper explores how scientists perceived their own responsibility to act, examining the willingness to use their cultural identity as scientists to lobby for a particular political position.
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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 | 0.013 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.065 | 0.043 |
| Scholarly communication | 0.021 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.006 | 0.012 |
| Insufficient payload (model declined to judge) | 0.004 | 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".