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Record W4403778963 · doi:10.1177/10892680241290214

Beyond Psyche: Aesthetic Attunement and Alternative Psychological Care Through the Heart

2024· article· en· W4403778963 on OpenAlexafffund
Jie Yang

Bibliographic record

VenueReview of General Psychology · 2024
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsSimon Fraser University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAttunementPsychePsychologyPsychoanalysisPsychotherapistSocial psychologyAestheticsCognitive psychologyPhilosophyMedicine

Abstract

fetched live from OpenAlex

Putting aside the idea of psyche as the universal basis of personhood in Euro-American psychology, this special issue charts new ground, engaging hybrid and alternative therapies in Japan and China that center the indigenous notion of the heart— xin in Chinese and kokoro in Japanese — as the basis for developing a novel, alternative template for psychological care. Xin is both body and mind, the ground for cognition, emotion, virtue, and bodily sensation. It is less concerned with being than with living and life, and thereby troubling ontological debates. Since xin is the means by which people experience culture, a xin -based approach to mental health care brings a new vision of inclusion. It is key to the aesthetic order associated with Confucianism. Aesthetic order requires people to tune in, artfully, to yin-yang dynamism in themselves, society, and the cosmos. Optimally, this aesthetic attunement brings about a fuller, holistic relationality. Yet, cultivating aesthetic attunement at all levels of individual and social life can become a source of distress for the heart. Heart-related distress of varying intensities eludes psychiatric diagnostic categories. Contributors to this special issue explore the possibility of establishing an embodied, felt (affective), and artful (aesthetic) template of psychological care anchored in the heart.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.436
Threshold uncertainty score0.999

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)0.0020.000

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 head0.054
GPT teacher head0.467
Teacher spread0.413 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2024
Admission routes2
Has abstractyes

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