Bibliographic record
Abstract
Jean Rouch is one of the major representative of cinéma verité movement, which was born in France in the sixties (in USA and Canada is know under the expression cinema direct). Rouch was his hole life interested in the issue of post colonialism. In Africa and in Paris he shoot many documentary and fiction films, and in these he achieves desirable authenticity of the film material, which is the basic presumption of cinéma vérité. This interest in the authenticity of film and a manifestation of shooting mechanisms is also the main principle of the French New Vague in general. This thesis is basically about the work of Jean Rouch, but it?s main topic are the films Sigui, which Rouch had been filming from 1966 till 1974 at the Dogon tribe in African state Mali. Eight films capture the eight years ritual of death and naissance, which the Dogons repeat once in sixty years. Even this material isn?t very comprehensible for the European audience, it?s obvious, there is something magic and subconsciously important hidden in this material. In the thesis I try to explain, why in my opinion, Jean Rouch had been closer to the true, than is even possible in the therms of cinéma vérité.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".