Husbandry considerations for better behavioral health in psittacine species.
Bibliographic record
Abstract
Keeping psittacine species as companions presents several unique challenges that are not involved in the ownership of dogs or cats. Because psittacine species are prey species, they respond differently than dogs and cats to seemingly benign challenges, such as the introduction of a novel item, sudden gestures, or even minor changes to the environment. Most psittacine species kept in captivity do not have the extended history of domestication that dogs and cats have. Because of a tendency to form flocks in the wild and the important functions of these flocks, psittacine species may be less tolerant of isolation from conspecifics in captivity. Many psittacine species have a life expectancy similar to that of humans, requiring a lifelong commitment from the caregiver. In addition, most psittacine species remain reproductively intact, which can contribute to behavior problems as the birds reach sexual maturity. Husbandry considerations that affect mental wellness and behavior in pet birds have been reviewed by Luescher and Wilson and me. Environmental considerations for pet birds include air quality, social interaction, intellectual stimulation, diet variation, foraging opportunities, adequate sleep, reduction of stressors, exercise, appropriate housing, and expression of species-typical behaviors. Inadequate husbandry for exotic species is an extremely important welfare issue, contributing to both mental and physical suffering. Caregivers should be encouraged to learn effective behavior modification techniques to address common behavioral issues, including screaming, reproductive behaviors, and biting.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".