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Record W4401935043 · doi:10.1192/j.eurpsy.2024.1092

Modifying Conventional Psychiatric Practice to Serve Indigenous People

2024· article· en· W4401935043 on OpenAlexaboutno aff
L. Mehl-Madrona, B. Mainguy

Bibliographic record

VenueEuropean Psychiatry · 2024
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousPsychiatryPsychologyPsychotherapistMedicine

Abstract

fetched live from OpenAlex

Introduction Psychiatry has historically underserved Indigenous people. Earlier, cross-cultural psychiatry assumed that psychiatric disorders were universal and varied little across cultures. We must acknowledge their different views of mind and mental health. Objectives In our auto-ethnographic approach, we introduce or re-introduce participants to cultural beliefs, values, and methods for treating addictions, including narrative methods (storytelling), which receive greater acceptance by indigenous and marginalized peoples. Indigenous philosophy states that we see the world using the stories we have absorbed or constructed to explain our perceptions. Using substances is a story that is connected to poverty and adverse childhood events. Methods We create new stories to develop a sense of agency, that one’s actions can make a difference in one’s life. We present our experiences and findings from providing psychiatric and addiction services in rural and remote Indigenous settings in Canada (Saskatchewan and Northern Ontario) and in Maine (USA). We present data on a modified approach to psychiatric evaluations and services that emphasizes Indigenous values and begins with a life story interview that determines positive aspects of the client’s history and problem areas and engages the client in therapy from the beginning of the evaluation. Results We will demonstrate how this process changes the process of the psychiatric interview, engages Indigenous clients, and results in better outcomes. We discuss how psychotherapy must change to engage Indigenous clients and to be effective with addictions. She will present data on this area. We present the lessons learned and the results of using this approach with a tribal population in Maine. Some key concepts include (1) reframing the person’s self-story about being addicted within a threat-power-meaning network, (2) working with stories about the spirit of the addiction and the consequences of ingesting spirit-laden substances without knowing their songs and protocols, (3) constructing future-self-narratives that explore right relationships and meaningful conduct, (4) constructing stories about the intergenerational transmission of addictions and exploring the question of “whom will be the recipient of your addiction?” We understood that the client sets their goals and defines what recovery means for them, which is the heart of a harm reduction approach. Conclusions Indigenous cultures across the world are different but share some similarities including a highly relational approach to defining the self, a collectivist mindset in which the needs of the group can supersede the needs of the individual, a reliance upon stories for transmission of knowledge and culture, and a commitment to a biopsychosocial and spiritual approach, which is often symbolized by the metaphor of the Four Cardinal Directions. Disclosure of Interest None Declared

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)0.005
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.169

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0100.006
Scholarly communication0.0020.002
Open science0.0020.008
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.019
GPT teacher head0.378
Teacher spread0.359 · 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 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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