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Record W1974228827 · doi:10.5663/aps.v3i1-2.21702

How the Urban Aboriginal Community Members and Clients of the Friendship Centre in Saskatoon Understand Addictions Recovery

2014· article· en· W1974228827 on OpenAlexaffvenueabout
John Hansen, Nicole Callihoo

Bibliographic record

Venueaboriginal policy studies · 2014
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFriendshipAddictionEconomic shortageSociologyCorporate governancePublic relationsPolitical sciencePsychologyBusinessGovernment (linguistics)Social sciencePsychiatry

Abstract

fetched live from OpenAlex

Addictions recovery is a significant policy issue concerning governance in Aboriginal communities, Saskatchewan, and Canada at large. Aboriginal Friendship Centres are priority areas for improving access to addictions recovery programs and assistance. This article addresses the following priority areas identified by the Saskatoon Aboriginal Friendship Centre and the urban Aboriginal community of Saskatoon in regards to addictions recovery: impoverishment, food shortages, homelessness, and the problem of growing Aboriginal incarceration rates. This study is qualitative in nature and highlights the factors critical to a developing addictions recovery interpretation through the stories of Aboriginal clients who use the services of the Friendship Centre. The article concludes with recommendations that will assist in the development of policy concerning urban Aboriginal issues.

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)0.003
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 score0.396
Threshold uncertainty score0.797

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.009
Scholarly communication0.0050.003
Open science0.0010.005
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0060.000

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 head0.315
Teacher spread0.292 · 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

Citations3
Published2014
Admission routes3
Has abstractyes

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