Comparative Perspectives on Communication in Human and Non-Human Primates
Bibliographic record
Abstract
Comparative research on communication systems in human and non-human primates has struggled to find a common language for comparisons. Research has too often either embraced application of linguistic constructs to animal signals, or eschewed them altogether, with the result being either uncritical acceptance of continuity between human and animal communication, or wholesale dismissal of it. This chapter attempts to better align the discussion of communication in the two groups by highlighting the importance of low-level features of communication indisputably common to both. From this common starting point, the authors of this chapter invoke functional deployability as a critical pressure influencing signal structure and use, emphasizing conserved perceptuocognitive mechanisms as common targets of signal action. In recognizing these foundational building blocks, many productive avenues for future research open up. In particular, the authors suggest that perceptual and cognitive biases that promote certain types of signal-meaning mappings provide a natural, biosemantic substrate on which more robust communicative systems can be built.
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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 | 0.000 |
| 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".