Using habitus and ethnic identity theory to investigate the decision-making of Canadian Modern Orthodox young people
Bibliographic record
Abstract
Students’ access to higher education is significantly shaped by the cultural and social capital they hold and aspire to gain. This study examines Canadian Modern Orthodox high school graduates pursuing higher education, exploring the factors that influence their choices. By framing Canadian Modern Orthodox Judaism as an ethnic minority identity, the research reveals how this identity shapes the decision-making process of young adults. The study integrates Bourdieu’s concept of habitus and Phinney’s theory of ethnic identity to understand how students in a close-knit community plan their futures, balancing considerations of reputation, marriage, and career. Based on eight years of teaching at a Modern Orthodox high school in Southern Ontario, the study uses institutional ethnography to identify two key pathways: Pathway 1 involves students taking a gap year in Israel, postponing their minority status on North American campuses, while Pathway 2 sees students entering directly into secular universities, where they become ethnic minorities for the first time. The paper also explores how students manage their post-secondary experiences and the impact on their cultural and social capital. Those who choose a gap year in Israel often accumulate greater cultural and social capital within their community compared to those who enter university directly.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".