The use of visual cues for spatial orientation in the sleepy lizard (<i>Tiliqua rugosa</i>)
Bibliographic record
Abstract
The sleepy lizard (Tiliqua rugosa) is a large, long-lived terrestrial Australian skink. In the present study we investigated the ability of sleepy lizards to use different visual cues for spatial orientation. The lizards were trained to locate shelters in certain places and then trained to certain signals associated with their shelters. In the absence of surrounding visual cues the lizards preferred familiar sites that were previously associated with their shelters. However, when presented with signals that had been associated with their shelters, they chose the vicinity of these familiar signals, even after their displacement to new sites. The lizards discriminated between black and white signals and between triangular and circular signals but not between red and green signals. Previous studies had shown that sleepy lizards exhibit home-range fidelity, raising the question of which environmental cues are important for them for spatial orientation within their home ranges. We suggest that the ability of sleepy lizards to discriminate between visual signals of different shapes and degrees of brightness enables them to "memorize" certain fixed landmarks in their large home ranges and to orient accordingly.
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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 | 0.001 |
| 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".