The emergence of a new paradigm in ape language research: Beyond interactionism
Bibliographic record
Abstract
We group the issues raised in the commentaries into five major sections. In the first, section R1, we consider some of the antecedents to dynamic systems (DS) in psychology, biology, anthropology, and primatology and note the key changes that have occurred in DS over the past ten years. Next, in section R2, we explain the ways in which co-regulation differs markedly from interactional synchrony, focusing in particular on the creation of meaning inherent in co-regulated communication. The following section (R3) clarifies the challenge that DS poses to Cartesian assumptions about the nature of communication and contrasts this position with behaviorism. In the next section (R4) we reject the notion that IP and DS may be, in fact, compatible paradigms. Finally, we explain the exciting future we envision for using DS to facilitate consideration of evolutionary questions, particularly those concerning the comparative evolutionary development of socio-emotional dynamics between partners (section R5).
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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 | 0.026 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.036 |
| Scholarly communication | 0.010 | 0.028 |
| Open science | 0.007 | 0.007 |
| Research integrity | 0.025 | 0.049 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".