Photographic representations of 'truth': the history and contemporary practice of photographic narrative tableaux
Bibliographic record
Abstract
This thesis explores the history of photographic narrative tableau from the Victorian era, through modernism, postmodernism, and postmodernism examining, as case studies, the contemporary work of Patrick Nagatani and Gregory Crewdson. It illustrates how this genre evolved over time, noting technological, social and cultural influences affecting artists and their work. It includes a discussion of contemporaneous photographic theory and criticism, and illustrates how staged narrative tableau photographs have a paradoxical relationship to the problematic concept of truth. Topics discussed include artifce, the uncanny, paradox, the contemporary sublime, and the aesthetics of seduction; the complicit gaze, anti narrative, and the role of the viewer; the use of language, words, and signs; fact, myth, truth, and the (re)creation of history; theatricality, melodrama, and metaphor; allegory, Simulation, simulacra, reality, and the real.
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.
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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.033 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 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".