Dresden Story and the Emergence of the Talking Head in the NFB Documentary
Bibliographic record
Abstract
Peu d’histoires du cinéma documentaire délimitent clairement l’apparition du sujet interviewé comme dispositif rhétorique standard des films de nonfiction. En concentrant notre étude sur le développement de la « tête parlante » dans les documentaires de l’Office national du film du Canada, nous pouvons identifier les circonstances qui ont entouré l’émergence de ce procédé à l’intérieur du vocabulaire et de la culture filmiques. Plusieurs théories de la voix et de la performance dans le documentaire informent notre analyse de Dresden story, une production peu connue de l’ONF pour la CBC, portant sur les tensions raciales grandissantes dans une petite ville ontarienne au début des années 50. Ce film de nonfiction comporte diverses formes d’énonciation directe, incluant la narration en voix off, un animateur de télévision, des entrevues devant la caméra et des tables rondes. Tout cela illustre un point tournant dans l’histoire de la « tête parlante » dans le documentaire canadien.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.017 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".