An Exploration of Canadian First-Generation Students’ Experiences and Characteristics
Bibliographic record
Abstract
This study focuses on the experiences and characteristics of first-generation students, specifically those who enroll in a four-year bachelor level degree program. The purpose of this research is to add to the existing body of knowledge concerning Canadian first-generation students to acquire in-depth descriptions of first-generation students in an attempt to uncover common themes that may lead to further investigation and academic research. My interest in the topic stems from the fact that I am a Canadian, first-generation student. As a result, this label was and is particularly relevant to me especially during the completion of my four-year bachelor level degree and beyond. Exploring the postsecondary experiences of Canadian, first-generation students and their cognitive and psychosocial characteristics during this critical period has particular implications for first-generation students during their postsecondary years and may be helpful in framing more successful experiences for these learners. Furthermore, interpretations of these experiences and characteristics may lead to a greater understanding of phenomena that may inform and support these students in their attempts to access and to experience success in postsecondary education settings.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.016 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".