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Record W1964830849 · doi:10.1093/shm/hkj006

‘Why Don't they Get It?’ Talk of Medicine as Science. St Luke's Hospital, Panniqtuuq, Baffin Island

2006· article· en· W1964830849 on OpenAlexafffundabout
Frank Tester, Paule McNicoll

Bibliographic record

VenueSocial History of Medicine · 2006
Typearticle
Languageen
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsUniversity of British Columbia
FundersUniversity of Manitoba
KeywordsAntipathyAdmirationResistance (ecology)ColonialismRelation (database)ConsciousnessMandateYesterdaySociologyPsychologyPsychoanalysisLawPolitical scienceSocial psychology

Abstract

fetched live from OpenAlex

Using diaries, clinical notes and other sources, this contribution explores interactions between Dr J. A. Bildfell and Inuit at Panniqtuuq, Baffin Island, in 1933 and 1934. The article comprises a record of conflict, with two cultures colliding over the provision of health care. Scientific and technological advances in medicine were perceived by Bildfell as possessing the potential to address many of the problems diagnosed among Inuit. However, there was strong resistance to his practices. Bildfell was therefore caught between the promise and potential of his profession and a suppressed admiration for local belief-systems. The paper highlights Inuit resistance, particularly in relation to childbirth. In addition, Bildfell's writings are used to reveal how the construction of the 'other' can be understood as a heuristic device to explain antipathy to the introduction of western medicine. In the longer term, the latter imbedded itself into Qallunaat (non-Inuit)-Inuit relations. The paper also shows that colonial styles of rule are relevant to an appreciation of the foundation of post-colonial challenges to medical science and the consciousness that continues to follow professionals working in cross-cultural settings.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.933
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.010
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.000

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 head0.023
GPT teacher head0.328
Teacher spread0.305 · 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 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

Citations8
Published2006
Admission routes3
Has abstractyes

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