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
This Invited Commentary focuses on a brief summary of how structural determinants of health (DoH) are framed in nursing and how a focus on the political economy of health can support identifying and addressing the ideological drivers of the structural DoH. Structural determinants focus on the politics and histories of enduring root causes of preventable injustices. There is a nascent literature in nursing regarding the structural DoH, which includes policy and governance processes, interlocking systems of oppression and discrimination, and social and economic structures that contribute to forces of power inherent in financial, legal, and governmental systems and policies. However, it is also crucially important to name and analyze their root ideological foundations because this is the space where structural change must be targeted. Various ideologies, intentionally or unintentionally, drive policy, politics, institutional governance and decision-making, and so on. The political economy of health is a foundational field that supports identifying these ideological drivers of the structural DoH. The invited commentary concludes with reflections and recommendations for nursing.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.005 |
| 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 it