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Record W4403174096 · doi:10.1080/03069885.2024.2384745

Acceptance and commitment therapy to alleviate climate-induced psychological distress

2024· article· en· W4403174096 on OpenAlexafffund
Christian R. Bellehumeur, Laure-Marie Carignan, Nathalie Robinson

Bibliographic record

VenueBritish Journal of Guidance and Counselling · 2024
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsSaint Paul University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAcceptance and commitment therapyDistressPsychological distressPsychologyPsychotherapistSocial psychologyMental healthPsychiatry

Abstract

fetched live from OpenAlex

The aim of this clinical article is to propose the relevance of the acceptance and commitment therapy (ACT) model Hayes, S. C., Villatte, M., Levin, M., & Hildebrandt, M. [2011. Open, aware, and active: Contextual approaches as an emerging trend in the behavioral and cognitive therapies. Annual Review of Clinical Psychology, 7(1), 141–168. https://doi.org/10.1146/annurev-clinpsy-032210-104449] to alleviate climate-induced psychological suffering. After a brief introduction establishing the need for climate-informed mental health intervention, the article is divided into three sections. The first section briefly presents ACT, highlighting the six core components of psychological flexibility. The second section provides a discussion to broaden and deepen psychotherapists’ understanding of eco-emotions, particularly eco-anxiety and eco-anger. The third section presents how this framework is relevant to assessing psychological flexibility in the context of climate change, using a hypothetical clinical example partly based on empirical findings.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.971
Threshold uncertainty score1.000

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)0.0010.000

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 head0.048
GPT teacher head0.364
Teacher spread0.317 · 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 designOther design
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

Citations4
Published2024
Admission routes2
Has abstractyes

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