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Record W2163464427 · doi:10.7202/038219ar

Negotiating identities: Inuit tuberculosis evacuees in the 1940s-1950s

2009· article· en· W2163464427 on OpenAlexafffundvenueabout
Ebba Olofsson, Tara L. Holton, Imaapik “Jacob” Partridge

Bibliographic record

VenueÉtudes/Inuit/Studies · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsJewish General Hospital
FundersCanadian Institutes of Health ResearchJewish General Hospital
KeywordsNegotiationIndigenousTuberculosisPsychological resilienceIdentity (music)Government (linguistics)ChoseMedicineGeographyFamily medicinePolitical scienceEthnologyPsychologySociologySocial psychology

Abstract

fetched live from OpenAlex

In the mid 1940s the Canadian government implemented a medical mass-survey of Inuit and other Indigenous peoples living in northern Canada, and evacuated those suspected of having tuberculosis to hospitals in the south. Hospital stays often lasted for years at a time and while some patients were eventually returned to their home communities, many never returned, some because they chose to stay in the south and others because they did not survive their illness. The current study is interested in how hospitalisation in the south affected the identity of Inuit patients, and in particular examines the negotiation of identity as a form of resilience. This investigation is conducted through life history interviews with Inuit former evacuees in which we explore their experiences of departure, travel, and sojourn in an unfamiliar environment, as well as their lives after the hospital stay.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.579
Threshold uncertainty score0.836

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0340.015
Scholarly communication0.0070.005
Open science0.0020.010
Research integrity0.0020.005
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 head0.041
GPT teacher head0.367
Teacher spread0.326 · 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 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

Citations13
Published2009
Admission routes4
Has abstractyes

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