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Record W2104074883

Should Aboriginal Healing Traditions Be Integrated into Urban Medical Facilities

2008· dissertation· en· W2104074883 on OpenAlexaboutno aff
Elena Papadakis

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2008
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsBiomedicinePoliticsMulticulturalismPower (physics)EthnographyHealth careSociologyPublic healthPublic relationsPolitical scienceEnvironmental ethicsMedicineNursingPedagogyAnthropologyLaw
DOInot available

Abstract

fetched live from OpenAlex

Should Aboriginal healing traditions be integrated into urban medical facilities? In spite of public and academic interest in bringing the two systems together, existing research on the topic shows how difficult integration would be due to historical/political, practical, and philosophical challenges. Not surprisingly, logistical measures for implementing the task have yet to be formalized. Based on 3.5 months of ethnographic fieldwork in a western Canadian city, this thesis explores what health administrators, people who use Aboriginal healing traditions, and people who practice Aboriginal healing traditions think about integration, and examines how attitudes within and about health care influence participants' views. Mobilizing anthropological concepts about biomedicine, bodily ways of knowing, sensorial dimensions of healing, and multiculturalism, I argue that prevailing attitudes, assumptions, and relations of power within health care culture, when combined with historical/political, practical, and philosophical challenges, seriously encumber the integration process. In conclusion, I suggest that Aboriginal healing traditions should only be integrated into urban medical facilities where health care providers and other staff relinquish the attitudes, assumptions, and relations of power that the biomedical paradigm upholds.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.881
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0210.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.045
GPT teacher head0.351
Teacher spread0.306 · 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
GenreOther

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

Citations2
Published2008
Admission routes1
Has abstractyes

Explore more

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