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Record W2091727097 · doi:10.2147/lra.s38789

Survey of international regional anesthesia fellowship directors

2013· article· en· W2091727097 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.

Bibliographic record

VenueLocal and Regional Anesthesia · 2013
Typearticle
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsFormative assessmentScope (computer science)CurriculumMedical educationMedicinePsychologyPedagogy

Abstract

fetched live from OpenAlex

BACKGROUND: The scope of regional anesthesia fellowship programs has not been analyzed but may provide insights that could improve fellowship training and standards. METHODS: Regional anesthesia fellowship directors across the world were asked to complete a comprehensive survey that detailed the range of educational and practical experience and attitudes as well as assessment procedures offered in their programs. RESULTS: The survey response rate was 66% (45/68). Overall, the range of activities and the time and resources committed to education during fellowships is encouraging. A wide range of nerve block experience is reported with most programs also offering acute pain management, research, and teaching opportunities. Only two-thirds of fellowships provide formal feedback. This feedback is typically a formative assessment. CONCLUSION: This is the first survey of regional anesthesia fellowship directors, and it illustrates the international scope and continuing expansion of education and training in the field. The results should be of interest to program directors seeking to benchmark and improve their educational programs and to faculty involved in further curriculum development.

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)0.000
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 score0.021
Threshold uncertainty score0.554

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 head0.032
GPT teacher head0.267
Teacher spread0.235 · 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