Food availability constrains investment by male Spotted Bowerbirds ( <i>Chlamydera maculata)</i> in their bowers
Bibliographic record
Abstract
Male bowerbirds (Ptilonorhynchidae) construct elaborate bowers decorated with objects from their environment to attract mates. These structures require time and energy to build and maintain that could otherwise be spent foraging, suggesting food availability may influence bower attendance and display quality. In a wild population of Spotted Bowerbirds (Chlamydera maculata), bower attendance was lower during a drought – when fruit was scarce – compared to seasons of average rainfall. Monthly attendance closely tracked rainfall that occurred 2 months prior. Experimental food provisioning during drought increased bower attendance and decoration numbers but did not affect structural elements of the bower. In non-drought seasons, natural food abundance correlated with more decorations but did not influence structure or attendance. Males spending less time at their bowers tended to have more perishable decorations. These results suggest that food availability limits male display investment primarily during droughts. Under normal conditions, local food abundance has little effect on bower quality or male behaviour, indicating that environmental stress drives resource-based constraints on sexual display.
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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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".