Food Safety: Weaknesses in Meat and Poultry Inspection Pilot Should Be Addressed Before Implementation
Bibliographic record
Abstract
A letter report issued by the General Accounting Office with an abstract that begins "The Department of Agriculture (USDA) announced in 1997 that it would modify its meat and poultry slaughter inspection program to make industry more responsible for identifying carcass defects. Before making the change permanent, USDA developed a model to test whether a prevention-oriented inspection system that uses plant personnel to examine each carcass and USDA inspectors to verify that quality standards are met would continue to ensure the safety of meat and poultry products. USDA's pilot project for chickens had several design and methodology problems that compromised the overall validity and reliability of its results. First, the chicken pilot that USDA designed lacked a control group--a critical design flaw that precluded a comparison between the performance of the inspection systems at those plants that volunteered to participate in the pilot and that of plants that did not participate. Second, the chicken plants that volunteered to participate in the baseline measurement phase of the pilot were not randomly selected, and they did not include plants from all chicken-producing areas or plants of all sizes. Third, the pilot project's methodology did not take into account such variables as seasonal changes and plant modifications that could affect project results. Finally, USDA's pilot project did not include features of the modified inspection systems in Australia and Canada that would be important considerations in ensuring the successful implementation of a modified inspection system nationwide. Notwithstanding the project's design problems, the data themselves do not conclusively demonstrate that modified inspections are at least equal to traditional inspections."
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.121 | 0.149 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".