Graduating From College: Exploring First-Semester Dispositions and Experiences of Support Associated With Unexpected Pathways
Bibliographic record
Abstract
This study examines the dispositions and experiences of support of college students associated with unexpected pathways toward college graduation. The final sample was drawn from a national sample of 3,998 youths who participated in a longitudinal project. Using the k-nearest neighbors’ algorithm, we created four groups based on the Québec High School Average and the College Graduation status four years after admission (Unexpected Graduates; Expected Dropouts; Unexpected Dropouts; Expected Graduates). Compared to ED, UG showed lower aggressive behaviors and attentional problems and higher participation in institutional or targeted support measures in college. They were also more likely to have attended a private high school. Compared to EG, UD showed lower academic behaviors and motivation, lower perceptions of teaching quality and support, and lower economic capital and support from family. They were also more likely to enrol in a technical college program and less likely to have attended a private high school.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".