Textual Exposures: Photography in Twentieth-Century Spanish American Narrative Fiction
Bibliographic record
Abstract
This book examines how twentieth-century Spanish American literature has registered photography's powers and limitations, and the creative ways in which writers of this region of the Americas have elaborated in fictional form the conventions and assumptions of this medium. While the book is essentially a study of literary criticism, it also aims to show how texts critically reflect upon the media environment in which they were created. The writings analyzed enter a dialogic relation with visual technologies such as the x-ray, cinema, illustrated journalism, and television. The study examines how these technologies, historically and aesthetically linked to the photographic medium, inform the works of some of the most important writers in Latin America. Methodologically, the close readings of the texts centre on the figure of ekphrasis (defined as the verbal representation of a visual representation). The book is concerned with the thematic, symbolic, structural and cultural imprints photography leaves in narrative texts. The author relies on an immanent approach, reading the selected texts according to their own specificities and making the relevant thematic and structural connections between them drawing from a variety of sources in the fields of literary criticism and theory and history of photography.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".