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Record W2469984736

Investigating the potential for students to provide dental services in community settings.

2002· article· en· W2469984736 on OpenAlexaboutno aff
Linda Huynh-Vo, J Rosenbloom, Garry Aslanyan

Bibliographic record

VenuePubMed · 2002
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsnot available
Fundersnot available
KeywordsDental hygieneCurriculumMedical educationPsychologyMedicinePedagogy
DOInot available

Abstract

fetched live from OpenAlex

Some dental educational institutions in North America have incorporated community-oriented programs into their curriculum. The purpose of this study was to investigate the potential for the clinical placement of Ontario's dental and dental hygiene students in community-based settings. Key informant interviews were used to collect data. The study group consisted of 15 key informants from 9 potential placement sites and 4 educational institutions in Toronto and London, Ontario. The textual data were analyzed qualitatively to identify important issues regarding a clinical placement program. Results showed that there is strong support for the placement of students in community-based clinics; however, the degree to which health centres can accommodate students varies. The majority would not set any limit on the types of dental services that students could provide as long as the services were within the students' competencies. Funding was identified as a barrier to the implementation of such a program, with most of the organizations not able to contribute financially. None would be able to provide sufficient supervision without additional funding. These results indicate that a clinical placement program would be a welcome addition to the training of dental and dental hygiene students, but that external funding for supervision and operational expenses must be available before a program can be instituted.

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)0.006
metaresearch head score (Gemma)0.015
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 score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.067
GPT teacher head0.406
Teacher spread0.339 · 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

Citations5
Published2002
Admission routes1
Has abstractyes

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