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Grand Challenges in Global Health: Community Engagement in Research in Developing Countries

2007· article· en· 419 citations· W2094642875 on OpenAlex· 10.1371/journal.pmed.0040273

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.

No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.506
GPT teacher head0.502
Teacher spread
0.004 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

The authors argue that there have been few systematic attempts to determine the effectiveness of community engagement in research.

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.

The record

Venue
PLoS Medicine
Topic
Global Health and Surgery
Field
Medicine
Canadian institutions
Funders
Canadian Institutes of Health ResearchU.S. Department of Health and Human ServicesNational Institutes of HealthNational Institute of Allergy and Infectious DiseasesBill and Melinda Gates FoundationUniversity of Toronto
Keywords
Community engagementDeveloping countryConceptual frameworkKey (lock)Public relationsSociologyMedicinePolitical scienceComputer scienceSocial scienceEconomic growth
Has abstract in OpenAlex
yes