Halban’s ‘Diplomatic Flu’: A Case Study in Nuclear Diplomacy in World War II
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article recounts an incident in Anglo-American nuclear diplomacy during the Second World War, in which Hans Halban – a French physicist researching nuclear fission on behalf of the British government at a joint Anglo-Canadian research facility in Montreal – was forbidden to participate in technical discussions with his American counterparts. This previously neglected incident usefully highlights the complex and contested nature of Anglo-American nuclear diplomacy during the Second World War. In February 1943 Halban had been invited to participate in a discussion concerning his work on heavy water, a topic with immense potential significance to the American nuclear programme. The invite came at a low point in Anglo-American nuclear relations. Interchange between the two states had effectively ceased. Fearing that allowing the trip might weaken the British negotiating position, Halban’s superiors sought to forbid the discussion, and at first instructed Halban to fake an illness to excuse his non-attendance. This ruse was eventually abandoned, but the trip was nevertheless cancelled. The article provides a granular contextualised account of these events and the British rationale throughout. Focussing on the perspectives of scientists and administrators in this period directs attention away from the interpersonal diplomacy of Churchill and Roosevelt towards a more nuanced understanding of the drivers of wartime nuclear diplomacy. The inter-connection of the various tiers of relationships within the allied nuclear programmes is emphasised and the importance of technical considerations in the overall construction of allied nuclear policy demonstrated. Canada’s significance in wartime nuclear diplomacy is also highlighted.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it