Bibliographic record
Abstract
At present, there are no animal welfare standards for agricultural animals at the federal level. Yet public support for agricultural animal welfare is growing. Private entities such as retailers have responded in a number of ways including adopting voluntary animal welfare standards and adding animal welfare labels to products. For example, Walmart recently announced it would adopt the globally recognized “five freedoms” animal welfare and McDonald’s, the biggest purchaser of eggs in Canada and U.S., announced plans to go “cage free” over the next ten years. This article explores the various types of private governance that has emerged in response to both a regulatory void and growing consumer demand for the humane treatment of agricultural animals. Part I of this article provides a brief overview of farmed animal welfare concerns. Part II introduces private environmental governance and the regulatory instruments available to private entities. This part focuses on three instruments used to address farmed animal welfare: performance standards; information; and procurement or supply chain contracting. Part IV explores different motivations for the changes being made by private entities including consumer preference, state requirements, and investor concerns. The article concludes by offering some standards by which the effectiveness of private animal welfare governance could be measured.
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 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".