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Record W3026547615 · doi:10.4236/ce.2020.115056

Recognizing Change in Post-Graduate Medical Education Using the Organizational Knowledge Creation Model

2020· article· en· W3026547615 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCreative Education · 2020
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsThematic analysisOrganizational learningContext (archaeology)PerceptionPsychologyMedical educationKnowledge managementGraduate medical educationQualitative researchComputer scienceMedicineSociologyAccreditation

Abstract

fetched live from OpenAlex

Context: Université de Montréal medical school implemented Competency-based medical education, an important organizational change. Recognizing and reporting progress towards change is critical for success. Yet, informative frameworks that allow educators to track progress aren’t available. We used the Organizational Knowledge Creation Model for such a purpose. Purpose: This paper reports on how we used the Organizational Knowledge Creation Model to recognize change towards Competency-based Medical Education implementation. Method: Because Organizational Knowledge Creation Model focuses on the relationships between individuals and social structures, we selected an embedded case study approach. Diverse case sampling was used to select three academic departments: internal medicine, surgery and psychiatry. Data collection was conducted at two intervals, two years apart. Semi-structured interviews (individual and group) were conducted with Department Heads and Educators. Thematic analysis was conducted on the 15 interview transcripts and coded according to the four Organizational Knowledge Creation Model stages. Results: As implementation begins, selected and trained Educators critically revisit teaching routines and develop common conception of Competency-based medical education. This enables communication with wider audiences and intervene within existing working groups where Competency-based medical education is “broken down” into practical concepts. Educators’ roles evolved from “expert” who disseminates knowledge about Competency-based medical education, to responsive and pragmatic tutors who develop practical tools with peers and program directors. Conclusion: The Organizational Knowledge Creation Model framework provided a deep understanding of ongoing change. Study participants, interviewed twice, described their perception of change as it progressed as well as insights into the underlying dynamics. As medical schools evolve, Organizational Knowledge Creation Model may be a valuable conceptual tool to track progress and describe tangible changes.

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)0.001
metaresearch head score (Gemma)0.007
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 score0.744
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.126
GPT teacher head0.422
Teacher spread0.296 · 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