An examination of self-identified reasons for student departure at a small liberal education institution in Canada
Bibliographic record
Abstract
This study explored the self-reported reasons why students, who were registered as first year students at a small, primarily undergraduate liberal arts institution, left after only one year of study. Data collection involved a mixed methods approach and the results were analyzed using a phenomenological approach, examining variables; social and academic integration, residential living, family commitments and finances. This study's findings confirmed there are a variety of reasons that students leave an institution after one year of study. The major findings revealed the reasons that the students self-reported for leaving were the inability to meet new friends, lack of career planning, unavailable program options and the cost to attend the institution. Because purposive sampling was used in the study, results cannot be generalized to the wider population but are consistent with the literature on student persistence. Based on the findings, the study did identify several recommendations that would be helpful in assisting with an institution's student persistence plans.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 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".