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Record W4214909519 · doi:10.32920/16632328.v1

The Roots Of Practice: An Anti-Colonial Critical Discourse Analysis Of Western Nature-Based Mental Health Therapies

2021· preprint· en· W4214909519 on OpenAlexaff
Carmen Chui

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicChild Therapy and Development
Canadian institutionsUniversity of GuelphToronto Metropolitan UniversityCentre for Social Innovation
Fundersnot available
KeywordsMindfulnessModalitiesIndigenousMental healthCoping (psychology)SociologyPsychotherapistPsychologyColonialismSocial sciencePolitical scienceEcology

Abstract

fetched live from OpenAlex

<div>This study seeks to explore how nature-based therapies are understood in Western “mental health” practices. Specifically, horticultural and equine-assisted therapeutic models are examined for discursive themes tied to mind-body connections, attachment and healing. Additionally, texts used to teach specific therapeutic modalities are examined to further explore common concepts such as mindfulness and coping. In conducting a review of relevant literature, similar themes were revealed which contributed to a base knowledge for understanding the discourse around nature-based therapies. Engaging in an anti-colonial theoretical framework and a modified critical discourse analysis methodology, this qualitative study explores the research question: “What are the discourses which inform Western nature-based therapies?” Ultimately, this study aims to develop a more thorough understanding of how these therapies are linked to Indigenous approaches, how practices may be appropriated and used by Western practitioners, and the shift in social work towards more wholistic therapeutic practices. </div>

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.688
Threshold uncertainty score0.840

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.434
Teacher spread0.414 · 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 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

Citations0
Published2021
Admission routes1
Has abstractyes

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