Influence of Maternal Cognitions on Child Mental Health and Educational Experiences at Home During COVID-19
Bibliographic record
Abstract
Suboptimal parenting characterized by low self-efficacy and perceived impact is associated with poor child mental health and academic outcomes, especially for at-risk families. This study capitalized on a longitudinal study conducted prior to and after the onset of the COVID-19 pandemic to test how prior parenting cognitions and environmental risk factors predict mental health and educational challenges faced by children during the pandemic. Pre-pandemic parenting and environmental risk data are available for a sample of 252 low-income mother-child dyads in Toronto, Canada. Research Findings: Mothers who had lower parental self-efficacy, but higher perceived parental impact prior to COVID-19 reported that their children faced educational challenges during the pandemic. In addition, mothers who reported lower levels of pre-pandemic parental self-efficacy reported that their children were more likely to have emotional and conduct problems greater than the sample average during COVID-19. Practice or Policy: Parents with specific profiles of parenting cognitions may need additional support to help their children cope during the pandemic.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".