The Resilience And Socioeconomic Status Of Caregivers And School-Aged Children In The Context Of The COVID-19 Pandemic
Bibliographic record
Abstract
Introduction: The COVID-19 pandemic has challenged caregivers’ and school-aged children’s ability to adapt. Their adaptability may be due to their resilience, which socioeconomic status (SES) may impact.\nMethods: Surveys were administered to 22 caregivers and 27 school-aged children (7-10 years) living in Ontario to measure their resilience and SES in the context of COVID-19. Correlations were employed to explore relationships between: (1) caregiver and child resilience; and (2) resilience and SES.\nResults: Analyses found no significant relationship between caregiver and child resilience, nor resilience and SES in the context of COVID-19. Trends revealed caregivers with normal resilience had a higher average income than those of low resilience.\nConclusion: While the resilience and SES of caregivers and children were not significantly related, the income of caregivers appears to relate to resilience levels. Future research should examine possible environmental factors that contribute to children’s and caregivers’ resilience through adversities.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".