Decolonizing global health: A scoping review protocol
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.
Bibliographic record
Abstract
Abstract Although there has been attention paid to decolonizing global health, there is no accepted understanding of the concept. Therefore, this protocol outlines the steps for a planned scoping review to assess the academic literature for discussions on decolonizing global health. Namely, to consider what this concept means within mainstream global health databases and how it can be acted on. We also hope to shed light on who is participating in these discussions. The PRISMA guidelines for Scoping Reviews (PRISMA‐ScR) was used to develop this scoping review protocol. With the guidance of an academic librarian, we searched OVID Medline, OVID Embase, EBSCO CINAHL Plus, Web of Science, PAIS Index, Worldwide Political Science Abstracts, and the International Bibliography of the Social Sciences databases from inception to the date the search is conducted. The inclusion criterion is that texts must: (i) use the exact phrasing of “decoloni* global health” or “anticolonial global health,” (ii) include substantive discussion of what decolonizi* global health or anticolonial global health means (i.e., we will exclude single mentions that do not include an explanation, elaboration, or context), and (iii) be published in English. Similarly, the exclusion criteria include: (i) texts that do not substantively discuss decolonizing global health and (ii) grey literature hits. This protocol establishes the study parameters for the planned scoping review. We anticipate the findings from the scoping review to bring much needed clarity to discussions around decolonizing global health, in terms of meaning(s), gaps, and possible actions.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.001 |
| Bibliometrics | 0.001 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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.
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