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Record W2156802596 · doi:10.1080/01421590903124716

Practica continua: Connecting and combining simulation modalities for integrated teaching, learning and assessment

2009· article· en· W2156802596 on OpenAlexaff
Rachel Ellaway, Roger Kneebone, Kevin Lachapelle, David Topps

Bibliographic record

VenueMedical Teacher · 2009
Typearticle
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsMcGill UniversityNOSM University
Fundersnot available
KeywordsModalitiesComputer scienceNarrativeExperiential learningIntervention (counseling)Management sciencePsychologyMathematics educationEngineeringSociology

Abstract

fetched live from OpenAlex

Simulation modalities are generally used independently of one another, largely due to physical and operational limitations to integration. Recent developments are enabling simulators and simulation environments to progress beyond single intervention models towards integrated continua of simulation. Moving to greater integration can improve contextualisation, better management of the transition from individual simulation to clinical practice, and provide wider opportunities to synthesise skills and approaches to practice. Simulation integration may involve experiential, modelling, technical, narrative, and evaluation dimensions; it includes both direct actions and activities, and technical and systems designs. The work in developing these integration continua is ongoing and takes many forms in many places. The framework of 'practica continua' proposed in this article links theoretical approaches and practical examples of integrated uses of simulation in 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 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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.888
Threshold uncertainty score0.739

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
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 head0.050
GPT teacher head0.453
Teacher spread0.404 · 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 designSimulation or modeling
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

Citations26
Published2009
Admission routes1
Has abstractyes

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