The Use of Hides during and after Calving in New Zealand Dairy Cows
Bibliographic record
Abstract
Isolation during calving is a common dairy cow behavior, however it has not been examined in large outdoor group settings. The provision of "hides" was monitored for its impact on calving location and cow-calf behavior. Stocking density and bedding management were either controlled (Phase 1) or managed according to farm practice (Phase 2). Hides were used for calving by 18% (Phase 1) and 22% (Phase 2) of the cows; a further 59% and 44% of cows moved into the hides after calving (Phase 1 and 2, respectively). When hides were not available, cows calved near the edges of the calving area. In Phase 2, as stocking density increased, cows tended to use the hides less. Older cows were less likely to isolate regardless of management. Cow-calf interaction with other cows and calves was lower when hides were available. There was no evidence that hides reduced incorrect matching of cows and calves by staff, however cases of "mismothering" (i.e., calves being taken by other dams) were observed. Since the majority of cows used the hides at some stage before or after calving, we suggest opportunities for seclusion should be provided in large calving groups.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".