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Record W3021280490 · doi:10.1386/eta_00027_1

The passage of a painting: The learning process of students creating art for people with dementia

2020· article· en· W3021280490 on OpenAlexaff
Alison Shields, Alison Phinney

Bibliographic record

VenueInternational Journal of Education through Art · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of British ColumbiaUniversity of Victoria
Fundersnot available
KeywordsPaintingDementiaThe artsClass (philosophy)PedagogyPsychologyMedical educationVisual arts educationProcess (computing)Visual artsSociologyMedicineArtComputer science

Abstract

fetched live from OpenAlex

Making Art for Making Place, a joint education and research project, engaged post-secondary fine arts students in the creation of paintings for residents of a transitional care facility. The purpose of the project was to explore how improving the living environment through art could benefit the residents with dementia while considering the impact this had on the students themselves. This article draws from participant observations and follow-up interviews to examine the learning experiences of students who created paintings for the facility. Further, it explores the impact on their learning through interactions with nurses and expert researchers who joined the class to participate in group discussions and share their expertise working with people living with dementia. The research revealed that the project fostered positive community building; engaged students in discussions and reflections about how art affects people; prompted consideration of experiences of the elderly – particularly those with dementia; and expanded understandings of the roles of art in the society.

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)0.003
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.547
Threshold uncertainty score0.940

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.008
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 science0.0010.000
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 head0.288
GPT teacher head0.619
Teacher spread0.331 · 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 designQualitative
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

Citations1
Published2020
Admission routes1
Has abstractyes

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