School quality of life: Cross-national comparison of students’ perspectives
Bibliographic record
Abstract
BACKGROUND: Cross-national comparisons of students' school quality of life (QoL) can support our understanding of factors that may affect students' health and well-being at school. OBJECTIVE: To compare Canadian and Israeli students' perception of their school QoL. METHODS: The Quality of Life at School Questionnaire (QoLS) was administered to 1231 students in 4th to 6th grades from Canada (n = 629) and Israel (n = 602), measuring: Physical Environment, Positive Attitudes, Student-Teacher Relationship, and Psychosocial. RESULTS: The Canadian students scored significantly higher than the Israeli students on all domains. The two-way ANOVA did not show a statistically significant interaction between country and gender nor age. However, within each country, girls and 4th grade students reported higher overall QoLS. CONCLUSIONS: This study lends support for the universal aspects of perceived QoL at school. This information may serve clinicians and educators in setting goals and developing programs to enhance students' school QOL.
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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 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".