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Record W3129437580 · doi:10.15804/siip201706

Kreowanie rzeczywistości w filmach dokumentalnych. Kazsus Leni (Helene Amalie Berthy) Riefenstahl na podstawie produkcji Triumf woli i Olympia

2017· article· en· W3129437580 on OpenAlexaff
Aleksandra Jeż, Dominika Narożna

Bibliographic record

VenueŚwiat Idei i Polityki · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPolish Historical and Cultural Studies
Canadian institutionsTRIUMF
Fundersnot available
KeywordsBiographyArt historyFaithArtCharacter (mathematics)Value (mathematics)Visual artsLawSociologyHistoryPolitical sciencePhilosophyTheologyComputer science

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.549
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0070.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.052
GPT teacher head0.353
Teacher spread0.300 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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