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Record W2619490928 · doi:10.1080/02722011.2017.1323944

Measuring Inuit Health from Ungava to Nunavik via Nouveau Québec: Episodes in the History of Researcher–Subject Relations

2017· article· en· W2619490928 on OpenAlexaffabout
Christopher Fletcher

Bibliographic record

VenueThe American Review of Canadian Studies · 2017
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsConceptualizationSubject (documents)Period (music)PoliticsSociologyGender studiesEthnologyHistoryGeographyPolitical scienceLibrary scienceLaw

Abstract

fetched live from OpenAlex

Inuit have been the subject of research attention since the earliest encounters with Europeans. Using the Foucauldian concept of biopolitics this article explores the history of researcher–research subject relations produced through health knowledge in the region now known as Nunavik. This history is organized in three time periods: The first is the “Ungava” era and is explored in the observations of members of the Hudson Bay Expedition and subsequent mapping efforts. The second “Nouveau Québec” era begins in 1912 when the current borders of Québec were established and lasts until 1975. After a period of indifference, research interest grows rapidly in the post-war period with a focus of social adaptation and culture change. The third era begins in 1975 with the signing of the James Bay and Northern Quebec Agreement. This marks the beginning of Inuit political development within an Inuit-controlled regional governance structure. The conceptualization of three different health surveys during this period shows an emerging complexity in how Inuit health is imagined. An upcoming fourth survey which marks the first time the study of Inuit physical, social, and community health will be initiated by an Inuit-led health authority.

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)0.004
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.541
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.199
GPT teacher head0.436
Teacher spread0.237 · 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

Citations4
Published2017
Admission routes2
Has abstractyes

Explore more

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