Nuclear Citizenship: Mary Kavanagh and Photography as Civil Resistance
Bibliographic record
Abstract
Since the detonation of the Trinity Test in July 1945, the scientific and cultural consequences of weapons-testing in the United States and those consequences’ international entanglements have been mapped and visualized by artists working at the intersection between physics and photography. This dissertation outlines photography’s broad role in atomic history and subsequent public and cultural critique. Canadian artist-researcher Mary Kavanagh, along with her colleagues in the Atomic Photographers Guild, grapples with the motivations and realities of photography as a visualizing protocol and its later role in the interventionist politics of the United States. This dissertation’s accompanying online exhibition, Weaponized Landscapes: Trinity, makes public grievances and observations available to a wide domain of nuclear and Atomic-Age scholars, photographers, and artists. This suite recalls the methods enfolded in contemporary landscape photography’s history while speculating new, humanitarian futures that feature acute attention to civic complaint and conscientious responsiveness that underpin civic entitlements to space and wellbeing.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.035 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".