An Examination of the Importance of Gender and Sibling Characteristics on Academic Perceptions
Bibliographic record
Abstract
The present study attempted to investigate whether age, socioeconomic status (SES), gender, and sibling size were associated with the academic perceptions of children. A total of 735 children aged 10 to 13 were included. The study sample was drawn from The National Longitudinal Study of Children and Youth, Statistics Canada Public Use File, which purports to be a representative sample of Canadian children. Academic perceptions were based on responses to four questions about how they feel about school, their academic goals, and how well they are doing in school. Age, SES, and sibling size and composition were not associated with academic perceptions (p>.05). Gender was associated with academic perceptions with females feeling more positively about school and having higher academic goals (p<.01). Females also reported higher overall academic perceptions compared to males (p<.05). The results of the study suggest that age, SES, and sibling composition are not important factors in understanding academic perceptions of early adolescents.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".