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Record W2737097708 · doi:10.17157/mat.3.1.252

Longing for evidence-based traditions

2017· article· en· W2737097708 on OpenAlexaboutno aff
Lindsay Bell

Bibliographic record

VenueMedicine Anthropology Theory · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsDestiny (ISS module)IndigenousPoliticsAutonomyIdentity (music)State (computer science)Articulation (sociology)ConversationConsumption (sociology)SociologyPolitical scienceAestheticsLawSocial scienceArt

Abstract

fetched live from OpenAlex

In Native North America, clinical/healing spaces are caught up in political struggles for autonomy. In Canada’s Northwest Territories, where rates of alcohol consumption are substantially higher than national averages, there are ongoing attempts to align therapeutic practice with traditional Aboriginal modes of healing and well-being. This Think Piece traces the ‘therapeutic trajectory’ of alcohol treatment in and out of this subarctic region. I show how the language of ‘evidence-based practice’ affords both gains and losses with regard to the assertion of collective identity and values vis-à-vis the state. Against the backdrop of the closure of the region’s sole residential treatment program, I contrast a conversation with a clinician responsible for implementing culture-based programs with the experiences of Destiny, a young Dene woman who, in the absence of local treatment options, spends time in clinics some one thousand kilometers away from her home community. In her movements away from the place to which she is indigenous, Destiny activates different forms of Aboriginal care than those intended by state and community actors. These divergent perspectives speak to the enmeshment of addiction with the perils and politics of liberal forms of recognition.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.837
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0220.006
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.086
GPT teacher head0.428
Teacher spread0.342 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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
Published2017
Admission routes1
Has abstractyes

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