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Record W2189513841 · doi:10.59236/td2011vol5iss11309

Examination of Curriculum Reform in a Four-year Program of Pediatric Dentistry

2011· article· en· W2189513841 on OpenAlexaff
Tracy J. Wong, Harry Hubball

Bibliographic record

VenueTransformative Dialogues Teaching and Learning Journal · 2011
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCurriculumContext (archaeology)Medical educationDocumentationEvidence-based dentistryDental educationDentistryMedicinePedagogyPsychologyAlternative medicineComputer science

Abstract

fetched live from OpenAlex

Significant curriculum reform has occurred over the last decade within the context of the undergraduate dental degree program at The University of British Columbia (UBC).Competency-based dental education guides curriculum practice at the UBC Faculty of Dentistry.Competencies-a set of skills, knowledge, and values that are required of a new graduate to enter dental practice-direct implementation of integrated student learning experiences with attention to the basic sciences, problem-based learning, and community-based dental practice.This paper is a description of the curricular changes that are happening in the division of Pediatric Dentistry at UBC. Drawing on an analysis of curriculum documentation and discussions with faculty members of Pediatric Dentistry, this paper is a reflective examination of the key barriers and emergent strategies for curriculum renewal in the UBC Dentistry program context.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.051
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.051
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.002
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 head0.034
GPT teacher head0.313
Teacher spread0.280 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2011
Admission routes1
Has abstractyes

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