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Record W2979526404 · doi:10.1111/1467-9655.13181

With or without the camera running: the work of Inuit film‐making

2020· article· en· W2979526404 on OpenAlexfundaboutno aff
Nancy Wachowich

Bibliographic record

VenueJournal of the Royal Anthropological Institute · 2020
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaBritish Academy
KeywordsIndigenousMainstreamEthnographyCarvingImprovisationAestheticsMeaning (existential)SociologyValue (mathematics)Visual artsMedia studiesAnthropologyArtEpistemologyPolitical scienceComputer scienceLawEcology

Abstract

fetched live from OpenAlex

Abstract This article argues for the critical evaluation of indigenous media, art, and aesthetic practices within local trajectories of meaning‐making. Drawing on ethnographic research in Arctic Canada with a notable Inuit video and film production company, Igloolik Isuma Productions, I emphasize the value of focusing on locally defined processes of filmic production and on relational bounties accrued outside the camera's field of vision. Indigenous media‐making emerges as a collaborative, adaptive, intercultural, and improvisational practice, one akin to Inuit traditions of hunting, carving, garment‐sewing, tool‐making, and story‐telling, and celebrated for its ability to foster unique environmental relationships, material practices, and perceptual orientations. Exploring the compound and relational workings of indigenous media invites critical reconsideration of the generative potentials it holds for the practitioner‐inhabitants of indigenous communities, anthropologists, and mainstream audiences more broadly.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0050.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.108
GPT teacher head0.397
Teacher spread0.288 · 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

Citations1
Published2020
Admission routes2
Has abstractyes

Explore more

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