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Record W7117319510 · doi:10.1177/1354067x251411800

Decolonizing Counselling: Integrating Non-Western Perspectives in Mental Health Intervention

2025· article· en· W7117319510 on OpenAlexaff
Girishwar Misra, Baiju Gopal, Indiwar Misra, Jigisha Gala, Robinder P. Bedi

Bibliographic record

VenueCulture & Psychology · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicIndian and Buddhist Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMental healthIndigenousMainstreamIdentity (music)Intervention (counseling)IndividualismTraditional knowledgeDecolonization

Abstract

fetched live from OpenAlex

This paper discusses the need to decolonize mainstream counseling practices, predominantly influenced by Eurocentric perspectives, by incorporating non-Western views and experiences. It highlights the importance of recognizing the fluidity of self and identity within diverse social and ecological contexts, particularly in countries like India, where mental health issues are on the rise. The paper critiques the limitations of Western therapeutic approaches in non-Western cultures. It emphasizes the significance of integrating local knowledge systems, such as indigenous healing traditions like the Siri cult, which promotes communal healing and addresses the spiritual dimensions of mental health. It advocates for a holistic approach to therapy that incorporates spiritual elements, encouraging self-transcendence and interconnectedness, and ultimately challenges the individualistic focus of Western psychotherapy. Integrating traditional practices and philosophies, such as Bhakti and mindfulness, is essential for fostering a more inclusive and effective mental health framework.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.787
Threshold uncertainty score0.431

Codex and Gemma teacher scores by category

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

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 head0.040
GPT teacher head0.368
Teacher spread0.328 · 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 teacher head, 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
Published2025
Admission routes1
Has abstractyes

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