Bibliographic record
Abstract
Most dairy calves are housed individually in the first weeks and sometimes months of their lives. Lack of social interaction can negatively impact feed intake, social skills, coping abilities, and cognitive performance, but the motivation of calves to seek companionship has seldom been investigated. In this study, 10 Holstein bull calves ( Bos taurus ; averaging 5.4 ± 2.6 d old upon entering the study) were housed individually in a central home pen with access to one pen on either side, each connected by a push gate. One side pen housed another calf of similar age and the same sex, and the second was otherwise identical in size and resources (feed and water) but without a social companion. Each time the test calf pushed open the gate to access a side pen, he would be left in it until the next feeding (approximately 0800 and 1600 h), at which time he was returned to the central home pen. After each successful pushing event, additional weight was added to the gate (initially a small amount, then incrementally higher). All calves but one pushed for the first time on d 1 of enrollment (within 9.4 ± 14.8 min of experimental start); the remaining calf pushed on d 3 of the test. Each calf was tested for 15 d and we recorded the maximum weight pushed for both side pens. Calves pushed a higher maximum weight (and pushed more frequently) for access to the pen with a social partner compared with the empty pen. We conclude that calves are socially motivated, even at a young age, and that calves can benefit from access to social contact.
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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 | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".