Connecting the right to health and anti-extractivism globally
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 Natural resources are essential to health and are global commons. Recognizing the devastating damage posed by extraction to health and the environment, as well as the erosion of the sovereignty of our governments that have increasingly conceded people’s health in the interest of profit and development, is important in framing our resistance. Our communities experience growing displacement, the loss of social services, of land, water and livelihood, heightened militarization, violence and repression, and increased incidence of communicable diseases and health problems resulting from exposure to toxics. All of these are linked to an extractivist project driven by global financial capital promoting an unsustainable and inequitable development model that threatens people’s health and the health of the planet. Is it compatible with the right to health to finance national health systems with revenues of activities that intrinsically destroy life? The essay portrays the inconsistency of development policies that fund health/right to health with extractivism and depicts examples of resistance to extractive industries tied to the People’s Health Movement (Canada,Turkey, India and Ecuador) in different types of governments. The need to strengthen the link between the right to health struggles and anti-extractive resistance is highlighted.
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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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 it