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Record W2028872369 · doi:10.5737/1181912x104147151

An innovative art therapy program for cancer patients

2000· article· en· W2028872369 on OpenAlexaffvenueabout
Karen Deane, Margaret I. Fitch, Marianne Carman

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2000
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsFacilitatorArt therapyFeelingInterpretation (philosophy)Meaning (existential)PsychotherapistMedicinePsychologyMedical educationNursingSocial psychologyComputer science

Abstract

fetched live from OpenAlex

Art therapy is a healing art intended to integrate physical, emotional, and spiritual care by facilitating creative ways for patients to respond to their cancer experience. A new art therapy program was designed to provide cancer patients with opportunities to learn about the McMichael Canadian Art Collection and to explore personal feelings about their cancer experience through combined gallery and studio components. The role of the facilitator was to assist in the interpretation of a participant's drawing in order to reveal meaning in the art. This paper presents patients' perspectives about the new art therapy program. Content analysis of participant feedback provided information about the structure, process, and outcomes of the program. Evaluation of the art therapy/museum education program demonstrated many benefits for cancer patients including support, psychological strength, and new insights about their cancer experience.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.049
GPT teacher head0.373
Teacher spread0.324 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations46
Published2000
Admission routes3
Has abstractyes

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