O DOCUMENTÁRIO ETNOGRÁFICO E SUAS VARIANTES: REVISITANDO ROBERT FLAHERTY, LENI RIEFENSTAHL E JEAN ROUCH
Bibliographic record
Abstract
When Robert Flaherty (1884-1951) pointed his camera to Nanook, a Northern Inuit of Canada in 1921 he created without knowing the actual record for the audiovisual and also the ethnographic genre, because he framed an ethnic group. In the 1930s the German Leni Riefenstahl (1902-2003) built for Hitler a visual representation of Aryan Man Myth in Triumph of the Will (1935) and Olympia (1938) and revolutionized the language of documentary, also having an ethnic intention in mind. Investigating the social conditions of the population of Paris, with a question 'Are you happy?' Jean Rouch (1917-2004) entered the designation of 'cinema verite' in this type of documentary in 1959 and sought to show the conditions of the French colonies in their works Le maitres fous (1954) and Moi un unoir (1958). Our goal is to reflect on the legacy of the three key authors to understand the documentary such as logging and construction of an identity. Index Terms – audiovisual, ethnographic, visual representation.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".