Kreowanie rzeczywistości w filmach dokumentalnych. Kazsus Leni (Helene Amalie Berthy) Riefenstahl na podstawie produkcji Triumf woli i Olympia
Bibliographic record
Abstract
The aim of this article is to present the biography of a film director- L. Riefenstahl, with an emphasis on her propaganda documentary works by the example of two documentaries: “Triumph of the Will” and “Olympia”. The thesis stated by the authors of this article is about creating reality by L. Riefenstahl. The authors present the propaganda techniques used by the director in her documentaries. The authors base this work on the analysis of audiovisual productions, historical method and finally- deduction. L. Riefenstahl was the artist with a great experience. As the director, not only was she innovative and unconventional, but also she was able to use and transfer her experience gained on other fields of her own life onto audiovisual productions. Therefore, the critics value Riefenstahl’s works due to their innovatory character and technical nuances. Although L. Riefenstahl is one of the most talented documentary directors, still, vast majority of her films were vile propaganda at the service of the 3rd Reich. Worshipping Hitler, love of symbols and faith in NSDAP is highly visible in Riefenstahl’s works.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".