Bibliographic record
Abstract
Cold War Camera mengeksplorasi mediasi visual Perang Dingin dan menyoroti peran fotografi dalam membentuk cara dunia dituntut dan dialami. Para kontributor menunjukkan bagaimana kamera ini memperluas parameter Perang Dingin melampaui biner dominan Timur-Barat dan AS-Uni Soviet dan menyoroti pentingnya fotografi dari seluruh belahan dunia Selatan. Topik-topik yang dibahas antara lain adalah produksi dan peredaran tokoh ikonik “perempuan revolusioner Vietnam” pada tahun 1960an dan 1970an; foto-foto yang berhubungan dengan datangnya kemerdekaan dan dekolonisasi di Afrika Barat; arsip foto keluarga di Tiongkok dan foto perjalanan warga Soviet; foto-foto apartheid di Afrika Selatan; dan beredarnya foto-foto warga Inuit Kanada yang direlokasi ke wilayah ekstrem Arktik pada tahun 1950-an. Menyoroti kemampuan kamera untuk membayangkan kemungkinan masa depan yang terdekolonisasi, membangun kedekatan visual dan solidaritas, dan memajukan seruan keadilan untuk mengatasi konflik proksi kekerasan, buku ini menunjukkan bahwa fotografi tidak hanya penting dalam pelaksanaan Perang Dingin, namun juga penting untuk memahaminya.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.770 | 0.549 |
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".