A Structural Model of Educational Aspirations
Bibliographic record
Abstract
The purpose of this study was to develop and test a model to predict educational aspirations of Canadian adolescents. Participants were a national sample of 4,034 students from grades 8-13 (2,037 males, 1,973 females). Results of a modified structural model included three sets of influences: a) a background factor comprised of parental occupation and education; b) a family involvement factor consisting of parental personal and school-based involvement with adolescents; and c) a personal factor with school marks, school and course perceptions, extracurricular reading and parental educational expectations as indicator measures. Educational aspirations was the main outcome variable. Results indicated that the personal factor had a strong direct influence on educational aspirations (β = 1.17, p <.001, R 2 = .76). The effects of the background and family involvement factors on educational aspirations were mediated through the personal factor. Additional analyses performed in order to test the relationships obtained in the model, revealed several significant interactions amongst the three predictor factors and educational aspirations. The findings emphasize the importance of efforts to enhance the educational aspirations of adolescents through targeted change of modifiable environmental and personal factors.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".