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Record W2912207756 · doi:10.1080/08322473.2018.1525667

From Liminality to Transformation: Creating an Art Therapist Identity Through Myths, Metaphors, and Self-Portraits (De la liminalité à la transformation : création de l’identité de l’art-thérapeute à travers mythes, métaphores et autoportraits)

2018· article· fr· W2912207756 on OpenAlexafffund
Sherry L. Beaumont

Bibliographic record

VenueCanadian Art Therapy Association Journal · 2018
Typearticle
Languagefr
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsUniversity of Northern British Columbia
FundersUniversity of Northern British Columbia
KeywordsLiminalityIdentity (music)NarrativeAestheticsArtPsychologyVisual artsLiterature

Abstract

fetched live from OpenAlex

This paper addresses a gap in the literature on art therapy identity by providing an arts-based autoethnographic account of the author’s identity and growth-related experiences while training as an art therapist and developing a private practice. The data analyzed included personal journaling (written and art-based), course papers, and art made over a six-year period. Using organic inquiry, narrative presentation, and qualitative thematic coding, analyses of the writing and art revealed evidence for the macrolevel themes of liminality (feeling between identities) and transformation (experiencing transformative growth and self/identity integration). Within those macrolevel themes, the art and writing were related to expressive metaphors. For the period of liminality, the metaphors included: (a) hanging between worlds; (b) seeing without sight; (c) shapeshifting; and (d) dark night of the soul. Within the period of transformation, they included moving from: (a) darkness to light; (b) dismemberment to “rememberment”; and (c) death to rebirth. Throughout the narrative, the roles of identity processes (e.g., contemplation), myths, metaphors, and art-making, especially self-portraiture, are discussed as important tools for self-identity development during and after art therapy training.

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)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.893
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0020.004
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.299
Teacher spread0.278 · 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
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

Citations11
Published2018
Admission routes2
Has abstractyes

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