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Record W2280311905

The Use of Computer Based Technology in Art Therapy with Adults who have Severe Physical Disabilities

2011· dissertation· en· W2280311905 on OpenAlexfundno aff
Sarah Tevyaw

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2011
Typedissertation
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsnot available
FundersConcordia University
KeywordsArt therapyWitnessPsychologyPsychotherapistOccupational therapyMedicineComputer sciencePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

The following qualitative research paper explores how the computer can be incorporated into an art therapeutic practice as a tool for art making when working with adults who are living with severe physical disabilities. The computer acts as a mediator that helps foster a sense of mastery, offers control over an art making process, and aids in the development of a positive self-concept when working in art therapy with adults who are living with chronic physical illness and limited mobility. Using a theoretical methodology and clinical vignettes, this paper examines how traditional techniques such as drawing, painting, and collage have been adapted using modern technology to meet the needs of clients who are living with physical disabilities. Advancements in new technology offer
\nart therapists the ability to reach more individuals and diverse clinical populations. By incorporating technology into art therapy it has expanded the possibilities for clients who have physical limitations to engage in an art therapeutic process, where the artwork is created not by the therapist, but by the client. Art becomes a mirror, a container, and a witness to many personal struggles for individuals who are living with chronic illnesses.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.052
GPT teacher head0.273
Teacher spread0.221 · 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 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

Citations0
Published2011
Admission routes1
Has abstractyes

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