Maternal involvement and adolescents' psychological and academic adjustment after <scp>COVID</scp>‐19 return‐to‐school: A one‐year longitudinal study
Bibliographic record
Abstract
Abstract The current study examined the idea that maternal involvement during the COVID‐19 school closure period could contribute to the development of adolescents' daily routines, which could ultimately associate with their psychological and academic adjustment after return‐to‐school. Data were collected from 520 Chinese adolescents ( M age = 12.75 years, SD age = 1.48 years) and their mothers during the COVID‐19 school closure and one year after return‐to‐school. Results indicated that maternal involvement in both education and leisure activities predicted more consistent adolescents' daily routines during the school closure period and then contributed to their more consistent daily routines after return‐to‐school, resulting in less psychological maladjustment and better academic outcomes. Findings highlight the importance of maternal involvement and daily routines in the context of COVID‐19.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.001 | 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".