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
Some states deny their own citizens one of the most fundamental human rights: the right to food. Rhoda E. Howard-Hassmann, a leading scholar of human rights, discusses state food crimes, demonstrating how governments have introduced policies that cause malnutrition or starvation among their citizens and others for whom they are responsible. The book introduces the right to food and discusses historical cases (communist famines in Ukraine, China and Cambodia, and neglect of starvation by democratic states in Ireland, Germany and Canada). It then moves to a detailed discussion of four contemporary cases: starvation in North Korea, and malnutrition in Zimbabwe, Venezuela, and the West Bank and Gaza. These cases are then used to analyse international human rights law, sanctions and food aid, and civil and political rights as they pertain to the right to food. The book concludes by considering the need for a new international treaty on the right to food.
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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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