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Postal survey of training in pediatric cardiac anesthesia in the United Kingdom<sup>1</sup>

2007· article· en· W2005198375 on OpenAlexaff
Michelle C. White, Timothy W. G. Murphy

Bibliographic record

VenuePediatric Anesthesia · 2007
Typearticle
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineSpecialtyTraining (meteorology)DirectiveFamily medicineMedical educationNursing

Abstract

fetched live from OpenAlex

BACKGROUND: There are no nationally agreed standards for training in pediatric cardiac anesthesia despite the recommendation of two reports. Since then, anesthesia training has changed because of the introduction of competency-based training, the New Deal and the European Working Time Directive. METHODS: We surveyed consultant pediatric cardiac anesthetists to establish what training they had undergone and to compare this with what they would recommend for training in the specialty. We also wanted to determine the profession's views on establishing training guidelines and what areas of practice to include when setting standards. RESULTS: Seventy-three percent of consultants want the Royal College of Anaesthetists to set standards for training. The majority had spent at least 2 years training in general pediatric, adult cardiac and pediatric cardiac anesthesia as well as pediatric intensive care and had spent time gaining experience overseas. CONCLUSIONS: They would recommend the same experience for others but this is unlikely to happen within the current constraints of specialist registrar training. Therefore, further training in a fellowship program in the UK or abroad is likely to be necessary.

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)0.009
metaresearch head score (Gemma)0.001
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 score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.006
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.042
GPT teacher head0.290
Teacher spread0.248 · 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.

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

Citations22
Published2007
Admission routes1
Has abstractyes

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