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Record W2560086469 · doi:10.1215/02705346-3662066

Arnait Video Productions: Inuit Women's Collective Filmmaking, Coalitional Politics, and a Globalized Arctic

2016· article· en· W2560086469 on OpenAlexaboutno aff
Scott MacKenzie, Anna Westerståhl Stenport

Bibliographic record

VenueCamera Obscura Feminism Culture and Media Studies · 2016
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsFilmmakingIndigenousNarrativePoliticsRepresentation (politics)Gender studiesMedia studiesSociologyArtAestheticsVisual artsPolitical scienceLiteratureMovie theater

Abstract

fetched live from OpenAlex

Arnait Video Productions is one of the most aesthetically diverse feminist collectives in the world. Founded in 1991 in Igloolik, Nunavut, Canada, by Madeline Piujuq Ivalu and Marie-Hélène Cousineau as the first women's Inuit filmmaking collective, Arnait engages in collective media production from Inuit women's perspectives with an explicit focus on gender. Arnait's video art, animation, fiction features, television programs, and documentaries address issues faced by women struggling for the recognition of indigenous and minoritarian cultures. The success of Arnait builds on the strategies deployed by the well-known Nunavut-based video and film collective Isuma and also radically departs from it by including women in key production roles. In doing so, Arnait foregrounds women's stories and perspectives from an Inuit point of view and thereby counteracts preexisting yet unexamined “masculine models” of representation. The collective's goals include employing women-only or women-dominant production crews, while embracing traditional forms of Inuit narration and culture.

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.283
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.043
GPT teacher head0.361
Teacher spread0.318 · 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 designQualitative
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

Citations21
Published2016
Admission routes1
Has abstractyes

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