Bibliographic record
Abstract
Photography, Truth and Reconciliation charts the connections between photography and a crucial issue in contemporary social history. The book examines the prevalence of photography in cultural responses to processes of truth and reconciliation, and argues that photographs are a valuable means through which stories can be retold and historiography can be rethought. Five compelling case studies from Argentina, Canada, Australia, South Africa and Cambodia underscore the special role that this medium has played in facilitating processes of recovery, and in reconstructing suppressed histories, even when a documentary record of the events does not exist. The diverse practices addressed in this book – including artistic, protest, institutional, archival, legal and personal photography – prompt a new consideration of photography’s links to presence, place, time, spectatorship and justice. Collectively, these practices attest to photography’s key role in transitional justice, and in shaping historical understanding internationally. Important reading for students taking photography, visual culture, history and media studies courses, Photography, Truth and Reconciliation explores key historical and theoretical themes, including photography and testimony, international discourses on human rights and justice, and problematic notions of public and collective memory.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".