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
The World Health Organization (WHO), as the most prominent global health institution as a specialized agency of the United Nations, has expressed concern for health equity as part of its mandate, “the attainment by all peoples of the highest possible level of health”. However, there is a lack of clarity around the WHO’s fundamental definition and conceptualization of equity. Through drawing on the WHO’s Urban Health Equity Assessment and Response Tool (Urban HEART) as an illustrative case, the aim is to determine how the WHO operationalizes equity in practice. Preliminary findings suggest there is no consistent understanding of what the goal of Urban HEART is. This research has direct implications for practice: not only can the findings be applied to other global health work that seeks to improve equity, but the WHO is planning to reinstate Urban HEART. As such, this research may be beneficial in guiding these plans. Further, the findings yield an important consideration for global and public health policy and practice more broadly: the need to clarify objectives around equity (e.g. because how equity is defined determines the work undertaken and the populations served).
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it