Cognitive Bias, Memory, and Fearfulness of Red Jungle Fowl and Athens Canadian Random Bred Chickens
Bibliographic record
Abstract
Our understanding of how poultry perceive and interpret their environment is essential to enhancing their welfare; over the years, animal welfare science has relied on measures of the behavioral and physiological components of affective states (positive and negative) as welfare indicators. There is an increasing interest in the study of chicken’s affective states using the Judgment bias test (JBT) as a tool for assessing welfare through their responses to ambiguous cues. This study investigates the cognitive performance of two chicken breeds with different evolutionary histories: Red Junglefowl (RJF), the primary ancestor of modern chickens, and Athens Canadian Random Bred (ACRB), a rustic domesticated broiler breed from the 1950s, by examining their responses to ambiguous stimuli in the JBT and comparing the fear and stress responses of the chickens that were and were not subjected to the JBT at two ages. Latency to approach cues varied significantly, with chickens consistently showing shorter latencies to approach positive (POS) cues than neutral (NEU) and RJF chickens exhibiting faster responses than ACRB at the older age, indicating better memory. Longer latencies in the tonic immobility test revealed higher fearfulness in RJF than in ACRB. Additionally, tested chickens, particularly males, displayed longer durations of tonic immobility than untested chickens. Thermal image analysis of eye and beak temperatures revealed that chickens subjected to the JBT had lower eye and beak temperatures, indicating higher stress levels. These findings highlight the influence of domestication on cognitive and emotional responses in chickens and underline the importance of considering stress during cognitive tests.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".