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Considering Theory‐Based Reflection in the Service‐Learning Training of Advanced Education in General Dentistry (AEGD) Residents

2010· article· en· W2330810585 on OpenAlex
Carol Kunzel, Satvir Kaur, Kavita P. Ahluwalia, Tanya Darlington, Piyumika Kularatne, Sandra Burkett, Derek Hou, Moussa Sanogo, Marita Murrman, Burton L. Edelstein

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.

Bibliographic record

VenueJournal of Dental Education · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsColumbia College
Fundersnot available
KeywordsGeneral partnershipContext (archaeology)Medical educationPsychologyActivity theoryService (business)Dental educationDental careReflection (computer programming)PedagogyMedicineDentistryComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Columbia University College of Dental Medicine, in partnership with the Harlem United Community AIDS Center, has developed a service-learning (SL) program for use in the training of Advanced Education in General Dentistry (AEGD) residents. This article presents basic tenets of SL, their applicability for dentistry, and our experience implementing SL in care of people living with HIV/AIDS. It proposes that social-behavioral theory, when incorporated into the basic components of SL, can play a useful role in resolving a number of challenges inherent in competency-based training programs. Although the article provides examples of how a particular theory, the Theory of Planned Behavior, might be applied in the SL context, opportunities for the application of other social-behavioral theories potentially exist.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.334
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 head0.037
GPT teacher head0.391
Teacher spread0.354 · 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