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Record W2000554502 · doi:10.3148/70.2.2009.81

<i>Evaluation of a Pilot Arts and Health Module</i> In a Graduate Community Nutrition Program

2009· article· en· W2000554502 on OpenAlexafffundvenue
Ann Fox

Bibliographic record

VenueCanadian Journal of Dietetic Practice and Research · 2009
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsPublic Health OntarioUniversity of Toronto
FundersConnaught FundUniversity of Toronto
KeywordsThe artsMedical educationWork (physics)Arts in educationMedicinePsychologyEngineeringPolitical science

Abstract

fetched live from OpenAlex

Several health disciplines have incorporated the arts into professional education programs; however, little work has been done in the field of dietetics. A pilot arts module was implemented as part of a graduate education program in community nutrition. The course instructor developed a structured, open-ended questionnaire, which was administered to participating students before the educational module. The same students completed a similar questionnaire at the end of the module. Responses were compared and analyzed thematically so that changes could be noted in perspectives on the arts and health upon module completion. Findings suggested that students' understanding of "art" and "science" changed during the module, that they recognized benefits of incorporating the arts into community nutrition practice, and that they could identify resources that would support their efforts to do so. The positive student responses to this pilot project support the further development of arts initiatives within dietetic education.

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)0.010
metaresearch head score (Gemma)0.011
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 score0.010
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.639
GPT teacher head0.621
Teacher spread0.019 · 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

Citations9
Published2009
Admission routes3
Has abstractyes

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