Cognition-Emotion Feedback and the Self-Organization of Developmental Paths
Bibliographic record
Abstract
Individual differences in personality and social behavior crystallize with age. Yet they vary sensitively with situational context and shift significantly with development. A dynamic systems perspective can help to explain the underlying complementarity between stability and change in these forms. Following theories of emotional development, a model is presented in which cognition-emotion interactions are the vehicle for personality and social development. The model suggests that positive feedback between cognition and emotion generates, maintains, and reconfigures self-organizing interpretations of emotion-eliciting events at both microdevelopmental and macrodevelopmental time scales. Interpretations emerge and stabilize through the coupling of cognitive and emotional elements that are activated and reactivated by this feedback. Personality and behavior self-organize in response to critical fluctuations, amplified by feedback, and trace diverging paths through periods of stability and change. Stability resides in interpretive attractors that maintain their organization by perpetuating as well as resolving emotional disequilibrium.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".