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Record W2086996802 · doi:10.1017/s0032247413000673

Unequal exchange: western economic logic and Inuit/Qablunaat research relationships

2013· article· en· W2086996802 on OpenAlexaffabout
April Dutheil, Frank Tester, Jordan Konek

Bibliographic record

VenuePolar Record · 2013
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsGovernment of NunavutUniversity of British Columbia
Fundersnot available
KeywordsEssentialismCommodificationParticipatory action researchSociologyOpenness to experienceCitizen journalismQualitative researchPolitical scienceGender studiesSocial scienceEconomySocial psychologyAnthropologyPsychology

Abstract

fetched live from OpenAlex

ABSTRACT For some time, Inuit have made it clear that they wish to play a more substantial role in research with implications for themselves and their territory. To understand how researchers communicate and relate to each other, cultural analysis is often employed. Although cultural differences are relevant to understanding problems in the conduct of research, limiting differences to these realities is overly deterministic and essentialist. Many differences arising in the research process are products of social constructions found in Canadian culture and, increasingly, in Inuit communities. The paper re-examines the complexities of cross-class relations, focusing on how different relations to money, as a proxy for other relations characteristic of the capitalist mode of production, consumption and commodification, impact Inuit interaction with western-educated researchers. Using the Nanisiniq Arviat History Project in the community of Arviat, Nunavut Territory Canada, as a case study, the paper is a qualitative analysis of miscommunication resulting from cross-class differences. The Nanisiniq project was a two-year participatory action research project bringing Inuit youth and elders together to rediscover, interpret and apply knowledge of their history and culture to contemporary social issues affecting them.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.263
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.013

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 head0.231
GPT teacher head0.451
Teacher spread0.219 · 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 designObservational
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

Citations8
Published2013
Admission routes2
Has abstractyes

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