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Neurosurgery at Tribhuvan University Teaching Hospital, Nepal

2005· article· en· W1987002345 on OpenAlexaff
Karim Mukhida, Sushil Krishna Shilpakar, Mohan Raj Sharma, Merwyn Bagan

Bibliographic record

VenueNeurosurgery · 2005
Typearticle
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsUniversity of Toronto
FundersTribhuvan University
KeywordsMedicineSpecialtyNeurosurgeryDeveloping countryHealth careBrain drainFamily medicineEconomic growthSurgery

Abstract

fetched live from OpenAlex

February 6, 2005, marks the 10th anniversary of the first neurosurgical procedure performed at Tribhuvan University Teaching Hospital, one of only a few tertiary-care hospitals in Nepal. Neurosurgery began at the hospital with the arrival of an American neurosurgeon to train Nepalese surgeons locally and, later, the return of these Nepalese surgeons to Kathmandu after subsequent fellowship training in the United States. This article traces the origins of neurosurgery in Nepal, outlines the specialty's development in Kathmandu at Tribhuvan University Teaching Hospital during the past decade from international education strategies, and describes the status of and challenges facing the provision of neurosurgical care in Nepal. The role of neurosurgical services in improving the health care status of populations in developing countries is considered. Neurosurgeons in developing and developed countries alike should continue to work to remedy the inequitable distribution of neurosurgical knowledge and services throughout the world.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.312
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.014
GPT teacher head0.249
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

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

Citations16
Published2005
Admission routes1
Has abstractyes

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