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Record W7109589849 · doi:10.60787/fpj.vol2no12.242-248

ANALYSING THE IMPACT OF THE AFRICAN FORUM FOR RESEARCH AND EDUCATION IN HEALTH (AFREHEALTH) IN GHANA: A QUALITATIVE EVALUATION STUDY

2025· article· W7109589849 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

VenueAfrischolar Discovery · 2025
Typearticle
Language
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsQueen's University
Fundersnot available
KeywordsFocus groupQualitative researchHealth educationProgram evaluationHealth servicesService (business)Public health

Abstract

fetched live from OpenAlex

To evaluate the impact of the African Forum for Research and Education in Health (AFREhealth) in Ghana in its first five years, after its launch in 2016. AFREhealth is an African initiative created and implemented by Africans in their continent with the support of international partners, to find solutions to health challenges that have plagued the continent. To explore how the health professions communities of participating institutions have been impacted by AFREhealth and how the wider society consisting of key health professions education and research stakeholders and service consumers has benefitted from AFREhealth’s presence on the continent. The evaluation will identify lessons learned and how to apply them to improve AFREhealth as a continental organization. This qualitative study utilized focus group discussions and key informant interviews. Interviews were recorded and transcribed verbatim, and data analyzed thematically. A total of 57 registered members of AFREhealth participated in both key informant interviews (KIIs) and focused group discussions (FGDs). The respondents included health professionals, students in health profession’s education institutions, and others that have ever received support and services from AFREhealth

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)0.048
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0480.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.005
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.116
GPT teacher head0.563
Teacher spread0.447 · 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