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Record W2085333276 · doi:10.1097/iop.0b013e3181c9fe14

Fellowship Selection Criteria in Ophthalmic Plastic and Reconstructive Surgery

2010· article· en· W2085333276 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOphthalmic Plastic and Reconstructive Surgery · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsSubspecialtyMedicineSpecialtyLikert scaleOphthalmologyFamily medicineMedical educationPsychology

Abstract

fetched live from OpenAlex

INTRODUCTION: Competition for subspecialty fellowship positions in ophthalmology continues to grow, and there is increasing interest regarding the factors considered important in fellowship selection. While a previous report evaluated the characteristics and criteria used by ophthalmology subspecialty program directors to select fellows in retina, cornea/external disease, and glaucoma fellowship programs, to the authors' knowledge no such study has evaluated Ophthalmic Plastic and Reconstructive Surgery (OPRS) fellowships. METHODS: The authors surveyed the program directors of all American Society of Ophthalmic Plastic and Reconstructive Surgery (ASOPRS)-sponsored fellowships in the United States and Canada. The survey contained 16 criteria related to the selection of fellows. A Likert scale ranging from 1 (not important) to 9 (very important) was used for prioritizing the criteria. Opportunity was afforded for comment on other measures, and program directors were also asked to select their most important factor used for fellow selection. RESULTS: The return rate of the completed surveys was 35 of 48 (73%). The 3 criteria with the highest mean Likert scale scores were the interview process (8.7), the ability to work and communicate with others (8.5), and letters of recommendation from subspecialty faculty (7.8). Likewise, the criterion selected as the single most important by respondents was the interview (58%), the ability to work and communicate with others (15%), and letters of recommendation from subspecialty faculty (15%). CONCLUSIONS: The authors' findings demonstrate that OPRS program directors place greater emphasis on qualities assessed during the interview, letters of recommendation from same specialty faculty, and the ability of the applicant to work and communicate with others. While not identical, our findings were similar to those noted for other ophthalmology subspecialties. The results support the suggestion that residents interested in fellowship training may benefit from faculty mentors in their area of interest early in their training. With the high interest in OPRS and other ophthalmology subspecialty fellowship training, the authors hope that this report will be useful to applicants, residency programs, and fellowship directors.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0000.001
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 head0.027
GPT teacher head0.270
Teacher spread0.244 · 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