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Record W3203242635

FUTURE VISION AND PLANNING FOR THE GEORGE BROWN COLLEGE SIMULATION CENTRE: RESEARCH AND DEVELOPMENT

2021· article· en· W3203242635 on OpenAlexaff
Cory Ross, Michael Eliadis

Bibliographic record

VenueInternational Education and Research Journal · 2021
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsGeorge Brown College
Fundersnot available
KeywordsStatus quoPsychomotor learningPsychologyGeorge (robot)Medical educationHealth careWork (physics)Computer scienceCognitionMedicinePolitical science
DOInot available

Abstract

fetched live from OpenAlex

Heavy workloads create challenges when students are in their practice settings. Many health care practitioners state a lack time to adequately mentor and supervise student activities and fear students not being adequately prepared for the busy units. Students are prohibited from practicing most psychomotor skills on clients without a prior demonstrated level of proficiency and application of knowledge. As client safety is never jeopardized, students’ exposure to learning opportunities, efficacy, and sense of team is challenged within the status quo. The effects of diminished work integrated learning environments for all College students of different disciplines are also being felt. It is time to revisit the use of simulation education in a holistic manner.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.268
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
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 head0.166
GPT teacher head0.601
Teacher spread0.435 · 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.

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

Citations0
Published2021
Admission routes1
Has abstractyes

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