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Record W1866648058 · doi:10.7196/samj.5744

Our surgical heritage: the role of the Department of Paediatric Surgery in the development of paediatric surgery in Cape Town, in Africa, and around the world

2012· article· en· W1866648058 on OpenAlexfundno aff
Heinz Rode, Alastair J. W. Millar

Bibliographic record

VenueSouth African Medical Journal · 2012
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsnot available
FundersHospital for Sick Children
KeywordsMedicinePaediatric surgeryCapeSpecialtyPediatric surgeryDeveloping countrySurgeryEconomic growthFamily medicine

Abstract

fetched live from OpenAlex

The Department of Paediatric Surgery at the University of Cape Town has made a remarkable contribution to the academic body of knowledge of Paediatric Surgery both in South Africa and around the world. It has played a key role in the development of the specialty in South Africa and through the South African diaspora has trained many paediatric surgeons who have made their mark internationally. More recently it has become a major focus of teaching and training for African paediatric surgeons. This article traces this legacy through its origins in the early 1920s to its current prominent position in the world paediatric surgical community.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.036
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.008
Scholarly communication0.0070.004
Open science0.0010.008
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.320
Teacher spread0.277 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations7
Published2012
Admission routes1
Has abstractyes

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