The importance of good stockmanship and its benefits to animals.
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
Good stockmanship will improve both animal welfare and productivity. Dairy cows, pigs, and other animals that are fearful of people will have lower weight gain, lower milk production, and poorer reproductive productivity. Farms where animals are willing to approach people may be more productive. This chapter reviews many studies that clearly show the relationship between aversive (bad) treatment and lower production. Animals that have been hit or shocked may become fearful of all people. Stockpeople who have a positive attitude towards animals often have animals with increased productivity. Studies also show how training can be used to improve the attitudes of stockpeople. The animal's relationship with the stockperson is not the only factor that determines productivity. Farm cleanliness and a stockperson's attention to good management practices is also extremely important. To help stockpeople maintain a positive attitude, they must not be worked to the point of becoming exhausted.
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) | 0.001 | 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) | 0.000 | 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