Does College Matter? Exploring College-Level Factors Related to Victimization Risk for U.S. and Canadian College Students
Bibliographic record
Abstract
Research shows that U.S. college students are at risk for a variety of victimization types. College students in Canada also experience similar types of victimization compared to U.S students, yet recent research shows that Canadian students are at a greater risk than U.S. college students of being victimized. Little is known, however, as to whether college-level factors influence victimization risk and how these risks may be different for U.S. and Canadian college students. Using the American College Health Association's National College Health Assessment data (ACHA-NCHA II), the current study builds upon past research by exploring the role of both individual and school characteristics and whether they are similarly related to risk of victimization in the two populations. The findings show that Canadian students are at higher risk for victimization and that some school-level factors play a role in predicting this risk for all students, with some variation in ones that matter for each country.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".