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Record W2073188481 · doi:10.1017/s0317167100008702

Ophthalmoscopy: A 7-Step Program

2008· article· en· W2073188481 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2008
Typearticle
Languageen
FieldMedicine
TopicOphthalmology and Visual Health Research
Canadian institutionsIzaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsPremiseOphthalmoscopyTask (project management)OptometryMedical educationPsychologyMedicineComputer scienceOphthalmologyEngineering

Abstract

fetched live from OpenAlex

BACKGROUND: Fundoscopy is viewed as a difficult or impossible task by many students and physicians. We have used a novel seven-step approach to teach trainees to use the ophthalmoscope. The technique is based on the premise that success is most easily achieved if the necessary motor skills are mastered first. A step by step approach will enable others to teach their trainees to attain the ability to routinely view the fundi of their pediatric patients. METHODS: Step 1 involves examination of the trainee's fundi to ensure there is no impediment to their success. In Step 2 the student examines the teacher. This identifies major errors. The next step teaches the trainee how to hold the ophthalmoscope. Step 4 gets the learner to read a journal article through the ophthalmoscope. In Step 5 they examine the teacher's eyes again and with a little help they are always successful. In the last two steps an older patient is first examined and finally the student examines a young child. CONCLUSION: This method differs from most other approaches by leaving the cognitive component of ophthalmoscopy until the student is comfortable with handling the instrument. It has been uniformly successful among our students and residents.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.523
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0040.013
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.178
GPT teacher head0.447
Teacher spread0.269 · 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