See Spot Eat, See Spot Die: The Pet Food Recall of 2007
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
When dogs and cats across the country fell inexplicably ill in March of 2007, their human companions became sick with worry. Veterinarians eventually determined contaminated pet food was the source of these illnesses. Melamine, an industrial chemical used in cookware, furniture, and industrial fertilizers, contaminated wheat gluten manufactured in China and utilized in many pet food brands in the United States and Canada. This contamination led to a recall of more than 200 brands of pet food - the largest in American history. This comment explores the reasons behind the contamination and the ensuing recall. The author identifies inadequate domestic regulation as the primary reason behind the contamination and notes these inadequacies permitted pet food distributors and manufacturers to skirt responsibility during the recall. The comment highlights changes instituted in light of the recall and suggests further changes to the FDA and its regulations so that this heartbreaking situation can be avoided in the future.
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 | 0.000 | 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) | 0.004 | 0.001 |
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