Multi-year analysis of academic buoyancy data for first-year engineering students at the University of Saskatchewan
Bibliographic record
Abstract
Academic buoyancy is the ability of a student to handle everyday school stress and setbacks. Over 700 first-year engineering students from five semesters and three cohorts at the University of Saskatchewan completed survey questions designed to measure academic buoyancy. Statistical analyses show that female students score lower than male students across all four academic buoyancy markers in the first semester (Fall) but not the second (Spring). Students from a rural background score lower than students from an urban background in one buoyancy marker (ability to handling study stress) in the second semester (Spring) but not the first (Fall). Two buoyancy markers were different across some cohorts. There were otherwise no differences between genders, regions, age, nor urban vs rural background (domestic students only). Our findings provide insight on student wellbeing as it relates to academic buoyancy markers, particularly in regards to female students in first-year engineering.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".