Teacher Research, Professional Growth, and School Reform
Bibliographic record
Abstract
Canadian research on the experiences and aspirations of children of immigrant parents consistently shows that they tend to have high educational and occupational aspirations (Anisef, Axelrod, Baichman-Anisef, James, & Turrittin, 2000 ; Dei, Muzzuca, McIsaac, & Zine, 1997 ; James, 1997 ; Lam, 1994 ; see also Schecter & Bayley, 2002 ). For many of these students, particularly those from working-class backgrounds, these educational aspirations reflect an optimism that seems to ignore the limitations and barriers related to their social, educational, and financial situation. In other words, in spite of their socioeconomic situations, many of these students expect to attend university or aspire to careers that require postsecondary education even though they are in educational streams or levels that do not necessarily qualify them to enter postsecondary institutions. 1 Also, the schools some of these students attend typically send very few students to universities or colleges. But despite these limitations, some of these working-class immigrant students actually manage to overcome the social and educational barriers or hurdles and realize their aspiration of attending university.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".