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Record W4388978791 · doi:10.32388/m7wqjh

Review of: "Decolonisation of Health in East Africa: Opinion Piece"

2023· peer-review· en· W4388978791 on OpenAlexaff
Abukari Kwame

Bibliographic record

Venuenot available
Typepeer-review
Languageen
FieldEconomics, Econometrics and Finance
TopicHIV/AIDS Impact and Responses
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsDecolonizationPolitical scienceGeographyLawPolitics

Abstract

fetched live from OpenAlex

The manuscript sought to provide a historical context of healthcare issues in the United Kingdom (UK) and elaborate on how the UK government impacts healthcare systems and professionals in Commonwealth countries.Proposals are discussed by the author/s regarding decolonizing health (or the healthcare systems in East Africa -Tanzania).Significant among these proposals is the need to change clinical priorities in the areas of health education and professional training, develop academic excellence among East African (Tanzanian) healthcare researchers and clinicians, improve inequities around research journal article publication rates among African scholars, and allow communities and their peer researchers to claim research authorship rights, among others.In particular, the authors have highlighted steps already taken to improve medical or health education through curriculum change, educational videos, and engagement of early career researchers and scholars with disabilities to thrive in research.These insights and propositions regarding how to improve healthcare access, increase research quality and outcomes, and encourage the participation of communities in research are critical to decolonizing health, as the author/s discussed.However, some of these proposals are very descriptive without concrete steps towards decolonization.Furthermore, the paper is silent about who these authors are, their relationship with East Africa (especially Tanzania) and what experiences inspired this critical opinion piece.Since this is an open review, the following are my perspectives about the topic, along

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.093
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.164
GPT teacher head0.353
Teacher spread0.189 · 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
GenreReview

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
Published2023
Admission routes1
Has abstractyes

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