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
Food systems include many issues interconnected through complex relationships. Some writers examine one part of the food system in depth but—from my perspective as a management student—a strength of Farmageddon: The True Cost of Cheap Meat is that it examines food systems by systematically connecting a broad set of issues in its analysis of the widespread adoption of the industrial farming model. This model, the authors argue, requires vast tracts of arable land, makes broad and lifelong use of antibiotics in farm animals to minimize disease and encourage rapid growth, and promotes an increasing use of grain for animal feed rather than for human consumption. Throughout the book, the authors share evidence in an effort to encourage consumers to reflect on the implications of the system we support when purchasing our meat cheaply. The authors have written this book from their experiences as animal welfare activists for a broad audience, but focus their attention on costs that have been unaccounted for in the industrial food system.
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 | 0.000 | 0.001 |
| 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