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Integrated, complementary or just different? Western and Rwandan approaches to clinical counselling

2016· article· en· W2508521120 on OpenAlexaffabout
Regine King, Michaela Hynie, Immaculée Mukashema, Jean Paul Habineza, Gilbert Kubwimana, Ancilla Musindarwego

Bibliographic record

VenueCritical and Radical Social Work · 2016
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsYork UniversityUniversity of Manitoba
Fundersnot available
KeywordsSpecialtyWork (physics)Context (archaeology)Social workPublic relationsMedical educationQualitative researchPsychologySociologyPolitical scienceMedicineFamily medicineSocial scienceEngineeringGeography

Abstract

fetched live from OpenAlex

This article outlines the understanding of the connections made by Rwandan practitioners in the human social services between the application of conventional counselling training and local practices. Undertaken by a group of social researchers from three Canadian Schools of Social Work and academics and students from the University of Rwanda Social Work Program, this qualitative study included 18 individual interviews with practitioners, reports from meetings with a local advisory group and three annual workshop discussions held with various stakeholders in Rwanda. The findings indicate that professional counselling is a specialty of those formally trained to counsel individuals or groups of people who are severely distressed emotionally, while in a Rwandan context, counselling consists of helping practices of approaching and accompanying persons in need, strengthening their connections to local resources, and building capacity in order to help them get back on their feet. Policy, pedagogical and practice implications are discussed.

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)0.007
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: none
Teacher disagreement score0.013
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.029
Scholarly communication0.0070.005
Open science0.0010.005
Research integrity0.0020.003
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 head0.259
GPT teacher head0.417
Teacher spread0.158 · 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
Published2016
Admission routes2
Has abstractyes

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