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Record W2131195633 · doi:10.1007/s10464-010-9373-2

The Red Road to Wellness: Cultural Reclamation in a Native First Nations Community Treatment Center

2010· article· en· W2131195633 on OpenAlexfundaboutno aff
Joseph P. Gone

Bibliographic record

VenueAmerican Journal of Community Psychology · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
FundersNational Institute on Minority Health and Health DisparitiesCanadian Institutes of Health ResearchLG DisplayUniversity of Michigan
KeywordsHealth psychologyIndigenousEthnographySociologyParticipant observationExplicationSymbol (formal)Public healthPsychologyPublic relationsMedicineNursingAnthropologyPolitical scienceEcology

Abstract

fetched live from OpenAlex

This article explores how Native American cultural practices were incorporated into the therapeutic activities of a community-controlled substance abuse treatment center on a "First Nations" reserve in the Canadian north. Analysis of open-ended interviews with nineteen staff and clients-as contextualized by participant observation, program records, and existing ethnographic resources-yielded insights concerning local therapeutic practice with outpatients and other community members. Specifically, program staff adopted and promoted a diverse array of both western and Aboriginal approaches that were formally integrated with reference to the Aboriginal symbol of the medicine wheel. Although incorporations of indigenous culture marked Lodge programs as distinctively Aboriginal in character, the subtle but profound influence of western "therapy culture" was centrally evident in healing activities as well. Nuanced explication of these activities illustrated four contributions of cultural analysis for community psychology.

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 score0.165
Threshold uncertainty score0.329

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0400.024
Scholarly communication0.0060.003
Open science0.0010.008
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.404
Teacher spread0.368 · 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

Citations119
Published2010
Admission routes2
Has abstractyes

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