A cow in motion: The impact of housing systems on movement opportunity of dairy cows and the implications on locomotor activity, behaviour, and welfare
Bibliographic record
Abstract
Focusing on the impact of housing environments that provide dairy cows with differing levels of movement opportunity, the aims of the studies included in this thesis were to 1) validate the technology that we use to measure locomotor activity within a tie-stall system, 2) determine whether providing tie-stall cows with a deep-bedded loose pen during the dry period increased locomotor activity, improved gait, and benefited lying behaviours, and 3) investigate the differences in locomotor activity and time budget of cows housed in free-stall and strawyard housing systems both in the winter after a restricted period of time indoor and in the summer following a period of free-access to pasture. summation of the information and findings presented in this thesis aim to provide more insight on how housing systems and management practices impact movement opportunity for dairy cows as well as the associated benefits. This can, in turn, lead to better recommendations on the feasible ways – both big and small – that producers can improve cow health and overall well-being through offering the cow something that is intrinsic to her being: the opportunity to move
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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 | 0.001 | 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 | 0.001 | 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) | 0.002 | 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".