MétaCan
Menu
Back to cohort
Record W2314697150 · doi:10.14684/wcca.8.2015.389

O DOCUMENTÁRIO ETNOGRÁFICO E SUAS VARIANTES: REVISITANDO ROBERT FLAHERTY, LENI RIEFENSTAHL E JEAN ROUCH

2015· article· pt· W2314697150 on OpenAlexaboutno aff
João Eduardo Hidalgo, Rosa Simões

Bibliographic record

Venuenot available
Typearticle
Languagept
FieldSocial Sciences
TopicUrban and sociocultural dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsEthnic groupRepresentation (politics)EthnographyGermanMythologyPopulationMovie theaterIdentity (music)ArtArt historyAnthropologyHistoryVisual artsSociologyLiteratureArchaeologyPoliticsAestheticsLaw

Abstract

fetched live from OpenAlex

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.429
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.064
GPT teacher head0.319
Teacher spread0.255 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2015
Admission routes1
Has abstractyes

Explore more

Same topicUrban and sociocultural dynamicsFrench-language works237,207