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Record W2799790196 · doi:10.3138/cjfs.17.2.59

<i>Nanook of the North</i> et le Cinéma Ethnographique: Cinédoc ou Synecdoque?

2008· article· en· W2799790196 on OpenAlexvenueaboutno aff
Nicholas Serruys

Bibliographic record

VenueCanadian Journal of Film Studies · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Identity and Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsDenunciationMovie theaterTextualitySynecdocheNarrativeFilm directorAestheticsContext (archaeology)AdmirationSociologyFaithLiteratureDramaIdeologyAllegoryArtMythologyMetaphorHistoryPhilosophyLawMetonymyPoliticsEpistemology

Abstract

fetched live from OpenAlex

Robert Flaherty produced the first documentary with a view to exalting the survival of the fittest among the Inuit. Like many discourses on the other, this film is at once celebratory and condescending. The director worked within a socio-historical context that had faith in the ability of anthropology and cinema to document the other in an objective fashion. But his perspective is romanticized through the lens of preestablished ideologies. This tension between reality and fiction generates both admiration for the film and denunciation of its preconceptions, of documentary practices in general and of ethnographic discourse as a whole. However, to appreciate the scope of Flaherty’s work, one must take into consideration his aesthetic intentions and the limitations of the medium. Because of its inherently fragmentary character, the cinematic apparatus always substitutes the part for the whole: the synecdoche is integral to the “cine-doc”. Having carefully chosen to suspend a postcolonial critique, the author considers the narrative forms of myth and allegory as a means not to apologize for the film, but rather to acknowledge its transcultural potential.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.954
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.008
Scholarly communication0.0060.004
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.090
GPT teacher head0.247
Teacher spread0.157 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2008
Admission routes2
Has abstractyes

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Same venueCanadian Journal of Film StudiesSame topicCultural Identity and HeritageFrench-language works237,207