Development of dustbathing behavior sequences in the domestic fowl: The significance of functional experience
Bibliographic record
Abstract
The development of the sequential structure of dustbathing bouts was studied in domestic egg-layer chicks from hatching until 23 days of age using a first order Markov chain model analysis. Chicks were reared either with access to sand ("sand chicks ") or on a wire floor ( "wire chicks"). All chicks in both groups developed a basic structure of the elements pecking, bill raking, ground scratching, vertical wingshaking, head rubbing, and side rubbing. Nonetheless, there was more cohesion in the bouts of sand chicks than in those of wire chicks: wire chicks had more pauses in their bouts and performed more elements while standing; also, allopecking (feather-pecking) and preening were incorporated into their bouts. We conclude that the basic structure of dustbathing bouts develops even in the absence of functional experience with feedback from sand. However, absence of normal feedback can lead to problems consisting of interruptions and feather-directed behavior.
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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 | 0.000 | 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 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".