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Record W4256270462 · doi:10.24124/2018/58828

Becoming an ally: Intersections of indigenous worldviews and clinical social work practices within Carrier Sekani Family Services.

2018· dissertation· en· W4256270462 on OpenAlexaffabout
Kara Brigden

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsIndigenousPracticumSocial workPsychological interventionNursingSociologyPolitical scienceMedicinePublic relationsMedical educationLawEcology

Abstract

fetched live from OpenAlex

Colonization – both historical and contemporary – has resulted in poor overall health status and other negative impacts for Indigenous people in Canada. To avoid further assimilation and colonization, non-Indigenous practitioners must become effective allies with Indigenous individuals and communities and work collaboratively to develop service approaches that are more culturally focused. My practicum with Carrier Sekani Family Services provided me with numerous opportunities such as observing and facilitating individual and group counselling sessions and participating in Carrier cultural and spiritual activities. My two main learning goals were to become an effective ally within Indigenous communities and learn to integrate traditional Indigenous healing approaches and Western clinical interventions into my own professional practice. This report discusses my practicum experiences and expresses how I will incorporate my learning into my future practice. My report also addresses complex issues such as appropriate boundaries, regular self-care, and vicarious trauma followed by recommendations.

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)0.010
metaresearch head score (Gemma)0.014
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 score0.880
Threshold uncertainty score0.238

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.014
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0190.022
Scholarly communication0.0100.007
Open science0.0020.011
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 head0.112
GPT teacher head0.466
Teacher spread0.354 · 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

Citations0
Published2018
Admission routes2
Has abstractyes

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