Students' Heterogeneity and Multiple Worlds: Revisiting the Changing Student Poulations in Ontario
Bibliographic record
Abstract
Abstract This qualitative study is designed to examine how the 8 university students (from 8 different secondary schools) define their high school experiences. The study focuses on how the 8 study participants’ unique identities shape their experiences of secondary schooling. The three paradigms, students’ heterogeneity, multiple worlds, and identity conceptually framed the study. Through the focus group interactions and two sets of individual interviews, each student’s unique identity and agency were revealed; both individual-social-collective entities that were developed in relations to others. The other sources of data were school websites, relevant media reports on schools and their communities, and policy documents on academic and international baccalaureate programs; finally, field notes were also taken. In so doing, the research critically explores participants’ voices on heterogeneity, multiple worlds of family, neighbourhood, peers,cultural and multicultural identities. Finally, the 8 young people also reflect on their 8 schools, their academic programs, overall educational experience, and particularly, how young people articulate their belonging in high schools. Findings of the study suggest that participants’ identities of who they were often echoed their class, race, and ethnicity, and in turn, affected their academic engagement and identity. Despite the public invitation of all schools on their websites for students to participate in the school communities, the participants painted an altogether different picture; not all adolescents had equal access to schooling. The study makes recommendations for policy-makers, schools, and their districts which address the issues of inequity raised in this study. Specifically, schools need to be aware of the cultural,socioeconomic, and ethnic issues and the challenges that are in the way of minority adolescents’ progress so that secondary schools can extend their support to low income and immigrant students.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.033 | 0.019 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".