Bibliographic record
Abstract
How humans understand others' actions is a line of critical inquiry in the psychological sciences. The neural mirroring system, which activates during both action observation and execution, has been proposed as a key mechanism underlying action understanding and related socio-cognitive functions (e.g., imitation). Examinations of the infant neural mirroring system offer valuable insights into the ontogeny of this system and its potential role in early social cognition. The 21st century has yielded the emergence and rapid expansion of research on the development of this system and its putative links to various socio-cognitive processes. However, debates within the broader neural mirroring literature question whether there is sufficient evidence supporting this system's role in social cognition. Moreover, methodological inconsistencies across studies of the infant neural mirroring system hinder a cohesive understanding of how this functions across contexts and development. The current review examines research on the infant neural mirroring system from the past quarter-century and highlights theoretical and methodological limitations of this work, as well as critical avenues for future research.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".