Bibliographic record
Abstract
The field of global health is at a pivotal moment of transformation. Decoloniality has emerged as a critical framework to assess and transform the pathologies that mark the field. These pathologies include the inequitable sharing of resources, the power hierarchies that entrench decision-making in institutions largely based in North America and Europe and the general predisposition towards paternalistic and exploitative interactions and exchange between North and South. The energy being generated around this transformative moment is widening circles of participation in the discourse on what transformation should look like in the field. The importance of decoloniality cannot be overstated in driving the transformative agenda. At the same time, the popularity of decoloniality as a critical framework may risk omissions in our understanding of the origins of injustice and the pathways to a new global health. To complement the work being done to decolonise global health, I illustrate how the 'human condition' intersects with the transformative agenda. By human condition, I mean the universal features of humanity that lead to oppression and those that lead to cooperation, unity and a shared humanity.
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 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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".