Bibliographic record
Abstract
This special issue explores the enduring visual legacies of the Cold War, an era of stark ideological division and intense geopolitical struggle, whose reverberations continue to shape contemporary crises. While debates persist on whether the Cold War officially ended with the dissolution of the USSR, recent global events – Russia’s invasion of Ukraine, the resurgence of militarism, and escalating conflicts in Gaza – underscore its lingering impact. Through a transnational lens, the contributors examine how photography, as both a tool of state propaganda and resistance, has documented and influenced the political dynamics of this era. The issue extends prior research, transitioning from hemispheric Latin American contexts to a broader exploration of solidarities and revolutionary histories in East, West, and Southeast Asia, as well as other global regions. Key contributions include analyses of private archival practices that challenge official narratives, such as Soviet ‘dembel’ albums’ revealing soldier experiences and Afghan refugee collections critiquing propagandistic depictions of Afghanistan. By focusing on the circulation and recirculation of visual media, these studies illuminate shifting meanings and the role of photography in constructing memory. The contributors also investigate state-driven photographic networks. For instance, socialist bloc agencies collaborated on exhibitions promoting ideological unity, while Cold War-era Korean and Southeast Asian photographers crafted anti-communist visual solidarities. These projects expose internal contradictions within both ideological camps and highlight the complexities of visual diplomacy. Additionally, the role of photography as a medium for resistance is exemplified by the Palestinian Liberation Organization’s archives, which foster resilience and community under occupation.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.108 | 0.013 |
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".