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Record W2791343126

"Never say die": an ethnohistorical review of health and healing in Aklavik, NWT, Canada

2010· dissertation· en· W2791343126 on OpenAlexaboutno aff
Elizabeth Cooper

Bibliographic record

VenueMspace (University of Manitoba) · 2010
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryDie (integrated circuit)GeographyPolitical scienceGerontologyMedicineEngineeringMechanical engineering
DOInot available

Abstract

fetched live from OpenAlex

The community of Aklavik, North West Territories, was known as the “Gateway to the North” throughout the first half of the Twentieth Century. In 1959, the Canadian Federal Government decided to relocate the town to a new location for a variety of economic and environmental reasons. Gwitch’in and Inuvialuit refused to move, thus claiming their current community motto “Never Say Die”. Through a series of interviews and participant observation with Elders in Aklavik and Inuvik, along with consultation of secondary literature and archival sources, this thesis examines ideas of the impact of mission hospitals, notions of health, wellness and community through an analysis of some of the events that transpired during this interesting period of history.

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)0.004
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 score0.084
Threshold uncertainty score0.608

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.013
Science and technology studies0.0370.016
Scholarly communication0.0080.002
Open science0.0030.005
Research integrity0.0010.003
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 head0.018
GPT teacher head0.279
Teacher spread0.261 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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