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Record W2409228216

Needs assessment of undergraduate education in otolaryngology among family medicine residents.

2008· article· en· W2409228216 on OpenAlexaffabout
Jordan T. Glicksman, Michael G. Brandt, Jennifer Parr, Kevin Fung

Bibliographic record

VenuePubMed · 2008
Typearticle
Languageen
FieldMedicine
TopicEar Surgery and Otitis Media
Canadian institutionsWestern University
Fundersnot available
KeywordsHumanitiesMedicineArt
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVES: To investigate the adequacy of otolaryngology teaching in undergraduate medical education (UME) and to determine the general level of comfort of family medicine residents in managing and assessing diseases affecting the ears, nose, and throat. DESIGN: Cross-sectional survey. METHODS: A sample of family medicine residents at the University of Western Ontario (N = 68) completed a questionnaire inquiring into their exposure to topics in otolaryngology during their UME. They were also asked to comment on their present comfort with knowledge and skills specific to otolaryngology. RESULTS: Family medicine residents suggest that there is generally little otolaryngology training in UME; 66.7% of respondents who received UME in Canada suggested that they received very little classroom instruction and 75.6% received very little clinical otolaryngology instruction. Residents identified specific otolaryngologic conditions with which they felt particularly uncomfortable. CONCLUSIONS: This study demonstrated that students receive very little exposure to otolaryngology in UME and highlighted specific conditions and procedures that family medicine residents lack confidence in managing and performing.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.027
Threshold uncertainty score0.362

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.033
GPT teacher head0.290
Teacher spread0.257 · 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 teacher head, 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

Citations38
Published2008
Admission routes2
Has abstractyes

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