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Record W2766293713 · doi:10.1542/peds.2016-3783

Global Health: Preparation for Working in Resource-Limited Settings

2017· review· en· W2766293713 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

VenuePEDIATRICS · 2017
Typereview
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsMemorial University of NewfoundlandUniversity of Ottawa
Fundersnot available
KeywordsMedicineScope (computer science)Work (physics)Resource (disambiguation)Public relationsMedical education

Abstract

fetched live from OpenAlex

Trainees and clinicians from high-income countries are increasingly engaging in global health (GH) efforts, particularly in resource-limited settings. Concomitantly, there is a growing demand for these individuals to be better prepared for the common challenges and controversies inherent in GH work. This is a state-of-the-art review article in which we outline what is known about the current scope of trainee and clinician involvement in GH experiences, highlight specific considerations and issues pertinent to GH engagement, and summarize preparation recommendations that have emerged from the literature. The article is focused primarily on short-term GH experiences, although much of the content is also pertinent to long-term work. Suggestions are made for the health care community to develop and implement widely endorsed preparation standards for trainees, clinicians, and organizations engaging in GH experiences and partnerships.

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)0.002
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.911
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.129
GPT teacher head0.458
Teacher spread0.329 · 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