Bibliographic record
Abstract
Canadian university students tend to endorse employment-related reasons for attending university ahead of other reasons such as personal satisfaction or intellectual growth. In the present study, first- and fourth-year students from a mid-sized Canadian university reported on the benefits they expected to receive from their degree and rated their relative importance. These open-ended responses suggested that both groups of students placed a greater emphasis on benefits related to career preparation and economic advancement than those associated with learning and self-improvement. However, when asked to evaluate the importance of a comprehensive list of degree-related benefits both groups of students endorsed the value of many of them, including those related to learning and self-improvement. Our results suggest the importance of methodology in gathering data about this issue, and we consider them in light of current concerns with helping students to understand the full value of their degree. Les étudiants des universités canadiennes ont tendance à accepter les raisons qui se rapportent à l’emploi pour justifier les études universitaires avant d’autres raisons telles que la satisfaction personnelle ou la croissance intellectuelle. Dans la présente étude, des étudiants de première année et de quatrième année d’une université canadienne de taille moyenne ont indiqué les avantages qu’ils s’attendaient à obtenir avec leur diplôme et les ont classés par ordre d’importance. Ces réponses ouvertes suggèrent que les deux groupes d’étudiants ont attribué une plus grande importance aux avantages liés à la préparation de leur carrière et à l’avancement économique qu’à ceux liés à l’apprentissage et à l’amélioration personnelle. Toutefois, quand on leur a demandé d’évaluer l’importance d’une liste complète d’avantages liés à l’obtention d’un diplôme, les deux groupes d’étudiants ont reconnu la valeur de plusieurs d’entre eux, y compris ceux qui se rapportent à l’apprentissage et à l’amélioration personnelle. Nos résultats suggèrent que la méthodologie employée pour recueillir les données sur cette question est importante et nous les prenons en considération à la lumière des préoccupations actuelles pour aider les étudiants à comprendre la valeur globale de leur diplôme.
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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 | 0.011 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.026 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| 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".