Cambios en el uso de medios digitales de los niños y variables parentales durante la pandemia de COVID-19
Bibliographic record
Abstract
The COVID-19 pandemic has the potential to increase infants' use of media and pose specific challenges for parents. This study aimed to analyze the dynamics and associations between the perception of change in digital media’s use during the pandemic, parental variables (loss of social support, symptoms of common mental disorders (CMD), perceived stress, parental self-efficacy, and satisfaction), and the child's age. Participants were 231 parents (M=33.84 years; SD=4.84; 91.80% female) of children with typical development of up to 36 months. Instruments used were: Sociodemographic Data Questionnaire; Media Use Questionnaire; Self-Reporting Questionnaire (SRQ-20); Perceived Stress Scale (PSS-4); Parenting Sense of Competence Scale (PSOC). Descriptive analyzes were conducted, as well as regularized partial correlation network analysis. The results indicate a perception of increased usage time, and the insertion of new devices into the children's routine. High rates of loss of social support, perceived stress, and CMD symptoms were found. The loss of social support and the child's age were strongly associated with changes in the pattern of use. The perception of increased usage time proved to be relevant from an intervention point of view, as well as mental health measures and loss of social support.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".