MétaCan
Menu
Back to cohort
Record W2722533461 · doi:10.7202/1040150ar

Reflections on the intercultural politics of food, diet, and nutrition research in Canadian Inuit communities

2017· article· en· W2722533461 on OpenAlexafffundvenueabout
Christopher Fletcher

Bibliographic record

VenueÉtudes/Inuit/Studies · 2017
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversité Laval
FundersNasivvik Centre for Inuit Health and Changing Environments
KeywordsSubjectivityPoliticsIntervention (counseling)Public healthPromotion (chess)Health promotionSubject (documents)SociologyPolitical sciencePublic relationsMedicineLibrary scienceNursing

Abstract

fetched live from OpenAlex

This essay explores the intercultural dynamics of food and health research in Inuit communities over time. Multiple sources of information are used to explore Inuit subjectivity in research through different ways of conceptualizing and acting on food-related practice and knowledge. How people experience being the subject of research, how that research mobilizes knowledge and resources, and how these in turn feed back into the larger social field is an important part of an intercultural dynamic in the Inuit Nunangat. Scientific interest in the Inuit diet is among the oldest of preoccupations in the health field, stretching back to the earliest encounters of Europeans with Inuit. Today, diet-related health issues are still a major area of scientific investigation and public health intervention. A deeper consideration of both Inuit and researcher cultures in food and diet-related health research will lead to more effective health promotion activities in Inuit communities.

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)0.017
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.924
Threshold uncertainty score0.681

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.006
Science and technology studies0.0760.033
Scholarly communication0.0160.005
Open science0.0030.014
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.440
GPT teacher head0.542
Teacher spread0.102 · 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.

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

Citations5
Published2017
Admission routes4
Has abstractyes

Explore more

Same venueÉtudes/Inuit/StudiesSame topicIndigenous Studies and EcologyFrench-language works237,207