The Functions of Mutual Touch in Full-Term and Very Low-Birthweight/Preterm Infant-Mother Dyads: Associations with Infant Affect and Emotional Availability During Face-to-Face Interactions
Bibliographic record
Abstract
The purpose of the present study was to investigate the communicative functions of mutual touch during mother-infant interactions and their relation with infants’ affect and the quality of the mother-infant relationship. The two normal periods of the Still-Face procedure were examined for mothers and their 5½-month-old full-term (n=40) and very low-birthweight/preterm (VLBW/preterm; n=40) infants. The Functions of Mother-Infant Mutual Touch Scale was used to code the function of each mutual touch. Results indicated that full-term infant-mother dyads spent significantly more time engaged in playful and regulatory mutual touch compared to VLBW/preterm infant-mother dyads who spent significantly more time engaged in attention-centered, unbalanced, and guided mutual touch. Infant smiling was found to significantly co-occur with playful mutual touch for both the full-term and VLBW/preterm infants, while fretting co-occurred with unbalanced mutual touch for VLBW/preterm infants. Higher levels of maternal sensitivity and regulatory mutual touch were associated for full-term dyads, while lower levels of maternal sensitivity were associated with unbalanced mutual touch for VLBW/preterm dyads. Results from this study enable a more comprehensive understanding of the functions of mutual touching, and suggest key differences in which mutual touching behaviours are organized with infants’ affect and relationship dimensions between mothers and their infants.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".