Online Training Using an Educational Video Improves Human Ability To Identify and Rate Kitten Fear Behavior
Bibliographic record
Abstract
Introduction: Fear is a negative emotional state that can influence early behavioral development and lead to impairments in animal welfare. For young kittens, excessive fear early in life can instill lasting fearfulness leading to behavioral issues such as aggression, negative impacts on the human–animal bond, potential mistreatment, relinquishment to shelters, and/or euthanasia. Therefore, it is crucial that caretakers can accurately identify when their kittens might be experiencing fear in order to respond appropriately. Methods: We used an online survey to determine: (1) whether members of the general public (n = 761) can accurately identify and rate different severities of fear behavior in young kittens in short video clips (i.e. no fear requiring no intervention, mild fear requiring awareness of possible intervention, and moderate fear requiring immediate intervention); and (2) whether an educational video offering specialized training on identifying kitten behavior can improve human ability to correctly rate kitten behavior in comparison to a general kitten care video. Results: Using mixed logistic regression models, we found no difference at baseline in correct ratings between the two video groups across all fear categories. However, participants who received the specialized behavior training had significantly greater odds of being correct after video training for all three categories compared to participants who received the general kitten care video. Additionally, previous experience with cats and participant personality impacted ratings. Conclusions: Overall, the current study demonstrates that concise and specialized training in identifying kitten behavior is a useful tool for improving human ability to identify and rate fear levels in kittens. This training approach can help strengthen caretaker understanding of kitten behavior to ensure interactions with potentially fear-provoking stimuli are properly mitigated to reduce related welfare impacts. Thus, these types of educational resources are encouraged within shelters, veterinary clinics, research settings, and foster and adoptive homes to improve the welfare of kittens.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".