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Evolving anatomy art: a self‐directed learning project (535.2)

2014· article· en· W1513682760 on OpenAlexaff
Heather Khey Beldman, Anna Farias

Bibliographic record

VenueThe FASEB Journal · 2014
Typearticle
Languageen
FieldEngineering
TopicAnatomy and Medical Technology
Canadian institutionsUniversity of WindsorWestern University
Fundersnot available
KeywordsHuman anatomyCreativityHuman bodyCurriculumThe artsNarrativeUndergraduate educationExpression (computer science)Medical educationPsychologyMedicineAnatomyComputer scienceVisual artsPedagogyArt

Abstract

fetched live from OpenAlex

Anatomy education is an integral part of training in medicine and follows a rich narrative of history evolving from ancient study of body systems to present technological approaches of instruction. Similarly, trends to integrate arts and humanities into medical education serve to deepen appreciation of the human condition. The project aims to provide a means of incorporating the arts and humanities into the current undergraduate medical training in the field of anatomy, with the intent of promoting a more holistic method of instruction. Exploration of the history of anatomy though artistic avenues enhances the learning experience of medical students by encouraging personal involvement and individual creativity. An illustration of self‐directed learning of human anatomy and personal reflections by a medical student are presented. The chronological account of the anatomical study of an organ and a body system was briefly depicted in a series of reconstructed sketches and models, with corresponding ruminations of the student artist. Providing an opportunity in anatomy instruction for artistic expression in an analogous manner is beneficial to medical trainees and supplements the existing undergraduate medical curriculum.

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)0.001
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 score0.662
Threshold uncertainty score0.509

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.006
GPT teacher head0.220
Teacher spread0.215 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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