The role of language and academic literacy in the success of generation 1.5 students at two Canadian universities
Bibliographic record
Abstract
In Canada, the generation 1.5 university student demographic is just beginning to become noteworthy of research. Several quantitative studies on the adjustment of the children of immigrants in university exist, but qualitative research is scarce. This thesis aimed to reveal the voices and experiences of nine generation 1.5 youth who experienced the university system in Canada. In addition, it aimed to survey the language and literacy programming at three Winnipeg post secondary institutions. Methodologically, multiple case study research design, supplemented by archival research analysis were used. The findings from in-depth interviews show that participants were challenged in meeting the demands of some tasks that required proficiency in CALP. The institutional programming survey showed that two of the institutions provide language programming for newcomers, while one of the three institutions does not appear to provide programming that supports the unique needs of ESL/EAL G1.5 students. Recommendations for improved educational services and further research are provided.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".