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Record W2781407393 · doi:10.1007/s40037-017-0400-y

CONTeMPLATE—a mnemonic to help medical educators infuse reflection into their residency curriculum

2017· article· en· W2781407393 on OpenAlexaff
Lawrence Cheung

Bibliographic record

VenuePerspectives on Medical Education · 2017
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMnemonicCurriculumReflection (computer programming)Medical educationConstruct (python library)Key (lock)Meaning (existential)Process (computing)PsychologyPedagogyMedicineMathematics educationComputer science

Abstract

fetched live from OpenAlex

Reflection, where clinical experiences are analyzed to gain greater understanding and meaning, is an important step in workplace learning. Residency programs must teach their residents the skills needed for deep reflection. Medical educators may find it difficult to construct a curriculum which includes the key elements needed to enable learners to attain these skills. When we first implemented reflection into our residency curriculum, we soon realized that our curriculum only taught residents how to engage in superficial reflection. Our curriculum lacked some key elements. To help guide the transformation of our curriculum, we combed the literature for best practices. The CONTeMPLATE mnemonic was born out of this process. It is a tool to help medical educators consider and implement key elements required to enable deep reflection. The purpose of this article is to show medical educators how they can use the CONTeMPLATE mnemonic to incorporate reflective practice into their own 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)0.002
metaresearch head score (Gemma)0.073
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.477
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.073
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.025
GPT teacher head0.418
Teacher spread0.393 · 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; both teacher heads agree on what is shown here.

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

Citations3
Published2017
Admission routes1
Has abstractyes

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