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Use of volunteers to help launch a pediatric residency program in Laos

2001· article· en· W1967884249 on OpenAlexaboutno aff
Karen Olness, Hakon Torjesen

Bibliographic record

VenueAmbulatory Child Health · 2001
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
Fundersnot available
KeywordsLibrary scienceCitationHistoryMedicineMedical educationComputer science

Abstract

fetched live from OpenAlex

When five Lao physicians began their training in a 3-year pediatric residency program in Laos in late 1997 it launched the first full-time postgraduate medical education in the history of the country.For a poor country with 5 million people, half of them children, and only seven fully trained pediatricians, the prospect of soon adding five new pediatricians per year has substantial implications for child health.This residency grew out of 10 years of collaboration between the Lao Faculty of Medical Sciences and a wide-ranging group of volunteer faculty members recruited from Case Western Reserve University and many other academic centres in the United States, Canada and Thailand, with the help of an allvolunteer organization, Health Frontiers.The collaboration grew slowly, first with a pediatric curriculum for medical students, then a series of intensive short courses in pediatrics, and finally a government-approved residency program, based on local health needs and consistent with international standards.This article reviews some of the academic, cultural, political, organizational and financial factors involved in the project.It suggests that the low-cost, incountry, volunteer-assisted residency program being developed in Laos may emerge as an effective and affordable model for introducing postgraduate medical education in other less developed countries.

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)0.000
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 score0.037
Threshold uncertainty score0.601

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.031
GPT teacher head0.316
Teacher spread0.285 · 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.

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

Citations0
Published2001
Admission routes1
Has abstractyes

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