The Development of Event Segmentation: An Introduction to the Special Focus
Bibliographic record
Abstract
Event segmentation-the process by which people parse continuous experience into meaningful units-shapes how we understand and remember the world from early in life. Yet, despite its foundational role in cognition, the developmental trajectory of event segmentation remains poorly understood. This Special Focus brings together new research examining how children and adults segment events, with an emphasis on individual differences. The contributions shed light on how children's memory relates to their segmentation profiles, reveal neural signatures of individual variability in adult segmentation, and introduce methodological advances for tracking how individual brains carve up experience. Together, these papers suggest that variability-often dismissed as noise-may be central to understanding how event segmentation emerges and changes with age. We hope to inspire curiosity about event segmentation idiosyncrasies in childhood, prompting researchers to uncover why children experience the world so distinctively and what this reveals about cognitive development.
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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 | 0.001 | 0.001 |
| 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".