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Record W4220740391 · doi:10.1177/10497323221087540

Cultural Safety as an Outcome of a Dynamic Relational Process: The Experience of Inuit in a Mainstream Residential Addiction Rehabilitation Centre in Southern Canada

2022· article· en· W4220740391 on OpenAlexaffabout
Julie Lauzière, Christopher Fletcher, Isabelle Gaboury

Bibliographic record

VenueQualitative Health Research · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversité LavalUniversité de Sherbrooke
Fundersnot available
KeywordsMainstreamIgnoranceFeelingAddictionContext (archaeology)RehabilitationCultural issuesParticipant observationPsychologyNursingQualitative researchMedicineSociologySocial psychologyPolitical scienceGeographyPsychiatrySocial science

Abstract

fetched live from OpenAlex

Few addiction treatment options are available in Arctic Canada, leading many Inuit to seek treatment programs in southern cities. We conducted a case study to understand what contributes to a culturally safe experience for Inuit in a mainstream addiction rehabilitation centre in Southern Canada. We carried out more than 700 hours of participant observation, in addition to semi-structured interviews and member-checking activities with 20 Inuit residents, 18 staff and four managers. Data were analysed using an inductive interpretative process. Throughout their journey in the program, Inuit navigated through contrasting situations and feelings that we grouped under six broad themes: having Inuit peers, having limitations imposed on one's ways of being and doing, facing ignorance and misperceptions, having conversations and dialogue, facing language barriers and being in a supportive and caring environment. This study highlights how cultural safety varies according to people, context and time, and relates to developing trustful relationships.

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)0.007
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 score0.266
Threshold uncertainty score0.536

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0380.021
Scholarly communication0.0070.003
Open science0.0030.010
Research integrity0.0020.004
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 head0.087
GPT teacher head0.506
Teacher spread0.419 · 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

Citations6
Published2022
Admission routes2
Has abstractyes

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