Developmental Timing of Signals Affects Information Content: Song Complexity but Not Consistency Reflects Innate Immune Strategy in Male Song Sparrows
Bibliographic record
Abstract
In short-lived animals, innate immunity is an important component of fitness and quality. Although receivers cannot generally assess a signaler's immune function directly, sexually selected displays such as birdsong may reflect past or current condition. We investigated the degree to which song complexity and consistency, thought to reflect condition over different developmental timescales, predict multiple aspects of innate immunity in male song sparrows (Melospiza melodia). We also investigated correlations among immune measures. Noncellular components of innate immunity (soluble blood proteins including natural antibody and other protective proteins) were negatively related to cellular (phagocytosis-based) components, suggesting trade-offs within innate immune protection. This pattern underscores the risk of inferring "immunocompetence" from a single metric. Song complexity, a permanent trait in this species, was positively related to noncellular relative to cellular immune components and may thus provide information as to the singer's innate immune strategy (investment in noncellular vs. cellular activity). Such a relationship could arise through shared timing of song learning and antibody repertoire development in early life. Singing consistency, thought to track variation in current condition and measured at both whole-song and syllable scales, did not predict any immune measures. Developmental timing of signals thus appears to influence their information content.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".