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Record W2603913950 · doi:10.1386/public.27.54.98_1

Arctic Cultural (Mis)Representation: Advocacy, Activism, and Artistic Expression on Social Media

2016· article· en· W2603913950 on OpenAlexaffabout
Erin Yunes

Bibliographic record

VenuePublic · 2016
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsYork University
Fundersnot available
KeywordsRepresentation (politics)NarrativeArcticThe InternetThe arcticSocial mediaBroadbandExpression (computer science)Media studiesSociologyPolitical scienceArtComputer scienceWorld Wide WebEcologyLawPoliticsLiterature

Abstract

fetched live from OpenAlex

Abstract The history of Canadian arctic culture has been predominantly informed through the work of non-Inuit anthropologists, academics, art dealers, curators, and collectors. A continuous cycle of restricted access has led to sustained discriminatory and misinformed representation of arctic life and culture in the media. Although broadband is opening the information highway, as long as restricted northern internet access remains, southern systems of control over Inuit voice and representation will be maintained. Through modern telecommunication technologies, social networking has become an important medium for Inuit self-representation, artistic expression, community advocacy, and activism in a historical narrative that has been dominated by a westernized, southern voice.

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)0.004
metaresearch head score (Gemma)0.008
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: Empirical
Teacher disagreement score0.253
Threshold uncertainty score0.503

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0110.010
Scholarly communication0.0100.002
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.123
GPT teacher head0.410
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 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

Citations7
Published2016
Admission routes2
Has abstractyes

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