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Record W4406834471 · doi:10.1016/j.aip.2025.102255

The creative arts therapies and the climate crisis: Toward a framework for intentional engagement

2025· article· en· W4406834471 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Arts in Psychotherapy · 2025
Typearticle
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsYorkville UniversityConcordia University
Fundersnot available
KeywordsThe artsPsychologyPolitical sciencePublic relationsLaw

Abstract

fetched live from OpenAlex

In the face of the deepening climate emergency, the field of creative arts therapies must intensify its engagement in and commitment to climate action. Creative arts therapists hold unique skills to promote positive social change, foster deep reflection and expression on the impacts of the crisis, facilitate creative problem solving, and inspire visioning and innovation for better futures. To help consider how these skills can be harnessed, the authors propose a framework that can be used across the creative arts therapies modalities and be adapted within different theoretical approaches to invite intentional climate reflection and suggest different types of action. This framework can help creative arts therapists to determine ways their professional practices can be more aligned with values of climate wellness, including their work with clients, roles as educators to participants in learning contexts, and their roles within their professional workplaces and greater communities. • Presents a foundation to attend to the climate crisis in the creative arts therapies. • Offers an original framework to support reflective and intentional engagement. • Prioritizes decolonization and systemic considerations.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.767
Threshold uncertainty score0.592

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.061
GPT teacher head0.433
Teacher spread0.372 · 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