Young Carers’ Educational Experiences and Support: A Roadmap for the Development of School Policies to Foster their Academic Success
Bibliographic record
Abstract
Young Carers (YCs) provide care for ill, disabled, or addicted family member(s) and may experience risk to their educational success. This study examined 145 YCs in Southern Ontario, aged 8-18, using surveys and found that many YCs considered school important and were doing well academically whereas some YCs’ education was negatively impacted. Correlational analyses revealed associations between caregiving time and missed school (r =.18, p = .030) as well as limit on future aspirations (r = .2120, p = .029). ANOVA analyses revealed that elementary-aged females placed higher importance on school than males (2 = .08, p = .036). Results also revealed that many YCs would use a variety of school services if offered, but over half would still prefer to maintain their caregiving role as a secret. Further findings and recommendations for supporting academic achievement are offered.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".