Profiles of infant communicative behavior.
Bibliographic record
Abstract
= 132) into 10 groups, based on variation in the intercept and the autocorrelation function at the first time lag, representing respectively the overall level of behavior and the predictability of the infant's moment-by-moment behavioral stream, in each of the 4 communication channels. In this exploratory study, 10 clusters were identified, some with unusual levels or predictability of behavior in varying channels, and clusters associated differentially with risk outcomes (infant 4-month temperament and 12-month attachment). Distinct forms of affective dysregulation were identified: sustained negative vocal affect associated with degree of disorganization; random vocal affect associated with attachment resistance; random facial affect and vocal affect, irrespective of positive/negative valence, associated with infant difficult temperament. Clustering multiple channels of infant communication generated unique behavioral profiles and predicted 4- and 12-month outcomes, suggesting that these clusters may indeed represent natural types of infant communicative behavior, not easily observed with the naked eye, that may be useful behavioral markers of clinical risk. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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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 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".