Infant Television and Video Exposure Associated With Limited Parent-Child Verbal Interactions in Low Socioeconomic Status Households
Bibliographic record
Abstract
OBJECTIVE: To assess verbal interactions related to television and other electronic media exposure among mothers and 6 month-old-infants. DESIGN: Cross-sectional analysis of 154 mother-infant dyads participating in a long-term study related to early child development. SETTING: Urban public hospital. PARTICIPANTS: Low socioeconomic status mothers of 6-month-old infants. Main Exposure Media exposure and content. MAIN OUTCOME MEASURES: Mother-infant verbal interaction associated with media exposure and maternal coviewing. RESULTS: Of 154 low socioeconomic status mothers, 149 (96.8%) reported daily media exposure in their infants, with median exposure of 120 (interquartile range, 60-210) minutes in a 24-hour period. Among 426 program exposures, mother-infant interactions were reported during 101 (23.7%). Interactions were reported most frequently with educational young child-oriented media (42.8% of programs), compared with 21.3% of noneducational young child-oriented programs (adjusted odds ratio, 0.4; 95% confidence interval, 0.1-0.98) and 14.7% of school-age/teenage/adult-oriented programs (adjusted odds ratio, 0.2; 95% confidence interval, 0.1-0.3). Among coviewed programs with educational content, mothers reported interactions during 62.7% of exposures. Coviewing was not reported more frequently for educational young child-oriented programs. CONCLUSIONS: We found limited verbal interactions during television exposure in infancy, with interactions reported for less than one-quarter of exposures. Although interactions were most commonly reported among programs with educational content that had been coviewed, programs with educational content were not more likely to be coviewed than were other programs. Our findings do not support development of infant-directed educational programming in the absence of strategies to increase coviewing and interactions.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.003 | 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".