Patterns in Children's Digital Media Use in Early Childhood and Family Factors: A Network Perspective
Bibliographic record
Abstract
Digital media use may be associated with adverse developmental outcomes and can be affected by individual, family, and sociodemographic factors. From a developmental perspective, this exploratory study investigates the relationships between maternal symptoms of common mental disorders (CMD) and health orientation on digital media use in early childhood. Participants were 267 mothers of children up to 3 years of age and were divided into three subgroups: G1 (0–12 months of age; n = 84); G2 (13–24 months of age; n = 97); G3 (25–36 months of age; n = 86). According to comparative network analysis, maternal symptoms of CMD had a greater effect in G1 and were more strongly correlated with the context of use than with screen time. Health orientation on screen time has greater associations in G1 and reduces its correlations in G2 until it disconnects from the network in G3. Developmental differences in digital media use can be addressed when planning interventions.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
| 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".