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Record W4417238098 · doi:10.1037/amp0001540

Decolonizing mental health in the polycrisis: Pathways toward neuro-decolonization.

2025· article· en· W4417238098 on OpenAlexafffund
Cash Ahenakew, Sharon L. Stein, Vanessa Andreotti, Ninawa Inu Huni Kui, Lisa Taylor, Stacey E. Prince, Jaya Ramesh, C. S. C. Williams, Rene Suša, Rose K. Vukovic, Claudia Diaz-Diaz

Bibliographic record

VenueAmerican Psychologist · 2025
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsBishop's UniversityUniversity of VictoriaUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of British Columbia
KeywordsIndigenousMental healthHumanityPovertyMisfortuneConvergence (economics)IllusionStigma (botany)

Abstract

fetched live from OpenAlex

The convergence of ecological, social, economic, and psychological crises into a "polycrisis" endangers the well-being of all life on Earth. This article argues that the root causes and drivers of these interconnected crises lie within the modern/colonial system, particularly its imposed illusion of separation between humanity and the rest of nature. Drawing on the work of Yellow Bird and our collaborations with Indigenous communities in Brazil and Peru, we examine how neurocolonization-the systemic imprinting of separability, superiority, and subjugation onto ways of thinking, perceiving, relating, feeling, and being-has contributed to the polycrisis. By comparing two mental health paradigms, one based on separability and the other on entanglement, we suggest that neuro-decolonization would entail a dual process by which those socialized into separability unlearn harmful patterns and unnumb to their relational interdependence and responsibility toward all beings, while those socialized into entanglement reclaim and revitalize practices that have been suppressed and pathologized. We also offer possible starting points for the field of psychology to address its role in neurocolonization and support neuro-decolonization in an era of polycrisis. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.445
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.089
GPT teacher head0.481
Teacher spread0.392 · 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.

Study designObservational
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

Citations2
Published2025
Admission routes2
Has abstractyes

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