Pathways to Post-Secondary Success: Applying Situated Expectancy-Value Theory to the Experiences of Students With Disabilities and Their Peers
Bibliographic record
Abstract
The number of Canadians beginning post-secondary education (PSE) each fall continues to grow. One group in particular that is seeing an increase in numbers is students with disabilities (e.g., learning disabilities, attention-deficit/hyperactivity disorder). The purpose of this study was to examine how students broadly, and students with disabilities specifically, can be supported in their PSE journey. Utilizing situated expectancy-value theory (SEVT) as our guiding theory, we examined how the components of expectancy, value, and cost, alongside the attendance of a transition program, supported various student outcomes (i.e., emotions, acquisition of knowledge and skills, GPA, and satisfaction). Our findings highlight the role of both psychosocial factors and institutional support in promoting successful student transitions to PSE. Limitations and future research directions are also discussed.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".