How domestication modulates play behavior: A comparative analysis between wild rats and a laboratory strain of Rattus norvegicus.
Bibliographic record
Abstract
Laboratory rats have been widely used to study the development and neural underpinnings of play behavior. However, it is not known whether domestic rats play in the same way and at the same frequency as their wild counterparts. In this study, the play of juvenile rats from a colony of wild rats maintained in captivity was compared to that of a strain of domesticated rats (e.g., Long Evans hooded). Three predictions were tested. First, it was predicted that wild rats would incorporate more agonistic behavior in their play. This was not found, as in all cases, both the wild and the laboratory rats attacked and defended the nape during play, a nonagonistic body target. Second, because play is typically more frequent in domesticated animals than their wild progenitors, it was predicted that the wild rats should play less than the laboratory rats. This was found to be the case. Third, because wild animals tend to be less tolerant of proximity by conspecifics and tend to be more agile in their movements, it was predicted that there would be less contact between wild pair mates. This was found to be the case; data show that the play of laboratory rats involves the same target (i.e., the nape of the neck) and tactics of defense as those used by wild rats. However, the laboratory rats initiated playful attacks more frequently, and were more likely to use tactics that promoted bodily contact. These similarities and differences need to be considered when using laboratory animals as models for play in general.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".