Sense of belonging and first-year academic literacy
Bibliographic record
Abstract
In this article, we analyze a broad range of factors that affect the sense of belonging of undergraduate students taking a first-year academic literacy course (ALC) at a multicultural, multilingual university in Vancouver, Canada. Students who fail to meet the university’s language and literacy requirements are required to pass ALC before they can enrol in writing courses across the disciplines. Consequently, many of those students feel that they have yet to be accepted as fully legitimate members of the university community. We present data from a two-year, mixed-method study, which involved asking students in surveys and interviews about their sense of belonging, as well as analyzing their reflective writing samples for issues related to their sense of belonging. We found that the participants’ perceptions of sense of belonging are multilayered and context-dependent, relating to changes in time and space, classroom pedagogy, and other social, cultural, and linguistic factors. Implications for higher education are 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".