MétaCan
Menu
Back to cohort
Record W4283720925 · doi:10.1080/17441692.2022.2092183

Reimagining global health: From decolonisation to indigenization

2022· article· en· W4283720925 on OpenAlex
Suzanne Hindmarch, Sean Hillier

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

VenueGlobal Public Health · 2022
Typearticle
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsYork UniversityUniversity of New Brunswick
Fundersnot available
KeywordsIndigenizationIndigenousSovereigntyDecolonizationGlobal healthSociologyEnvironmental ethicsPolitical scienceHealth careAnthropologyLaw

Abstract

fetched live from OpenAlex

In the wake of global racial justice and Indigenous sovereignty movements, there have been calls to decolonise global health as an academic discipline and set of policies, programmes, and practices. Identifying these calls for decolonisation of global health as both promising but limited, we argue that global health needs to engage in deeper critical reassessment of its ontological foundations in Western thought and that Indigenous ontologies have an important role to play in deconstructing and reimagining global health. We identify four Western ontological assumptions that are particularly relevant to global health and demonstrate how Indigenous ontologies assist in thinking outside of and beyond these assumptions, offering a path toward a reconstructed Indigenized imagining of global health.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.428
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.044
GPT teacher head0.372
Teacher spread0.328 · 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