The Dynamics of Emotion-Related Behaviors in Infancy
Bibliographic record
Abstract
The maintenance, production, and transformation of stable organism-environment systems require an intricate organization of the organism's behavior. In man as in many other species, emotions are an essential part of the behavioral system. They play a crucial role as evaluative classifiers or categorizers of states and events, as signals to oneself or to conspecifics, all in the service of generalized appropriate action on the vagaries of an only partially predictable and manageable environment. Emotions are not just internal states. On the contrary, they should be viewed as internal reactions that an organism has learned to observe or detect within itself and within other organisms, in principle conspecifics and related species. Thus, the outward expression of emotions has important signal value. Especially in social species, where the maintenance of a successful organism-environment system depends on the regulation of action among members of a social group, emotional expressions are vital signals of the internal states of individuals. A particular and biologically extremely important social bond is that between a young infant and its primary caregivers, simply because most neonates cannot survive without the care of their elders, and – in our own and related species – the care of the mother in particular.
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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 | 0.002 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".