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Record W4400446677 · doi:10.26443/ijwpc.v5i1.133

De-fuzzification of reflection in the education of health professionals

2018· article· en· W4400446677 on OpenAlex
Edvin Schei, Abraham Fuks, Donald A. Boudreau

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueInternational Journal of Whole Person Care · 2018
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Teacher Development
Canadian institutionsMcGill University
Fundersnot available
KeywordsReflection (computer programming)Health professionalsPsychologyPolitical scienceComputer scienceHealth care

Abstract

fetched live from OpenAlex

Our educational institutions are mandated to equip future physicians and other health care professionals with the scientific, craft, and inter-personal knowledge and skills to meet the demands of contemporary clinical practice. Clinicians must acquire advanced communication skills, develop the ability to manage complex situations, make appropriate use of medical knowledge and technology, and problem-solve through the exercise of refined judgment. The ability to reflect in and on situations of this nature is considered a necessary professional aptitude in order to ensure effective and compassionate whole person care. Notwithstanding the general acceptance of these premises, ‘reflection’ remains a fuzzy concept. It is a polysemous term that has proved difficult to define and has attracted to itself numerous false claims and unfulfilled promises. Excellence in reflective abilities is notoriously difficult to recognize in another individual and it may not be ‘teachable’. Furthermore, there have been recurring doubts as to the feasibility of meaningfully assessing reflection.We intend to explore these issues in this session. We will demonstrate how reflection can be role-modeled and inculcated. Instructional Methods This will be an interactive workshop. Learning Objectives By the end of the workshop, participants will be able to:• clarify the concept of reflection and understand its application to the education of health professionals• discuss a framework, including specific methods, for the structuring and deployment of an educational program aimed at promoting reflection.

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.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.792
Threshold uncertainty score0.250

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.000
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 head0.078
GPT teacher head0.438
Teacher spread0.360 · 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