Case study: a study of a selected group of Indo-Canadian males and their experiences at high school
Bibliographic record
Abstract
This qualitative case study describes and analyzes the educational identities of second generation Indo-Canadian high school males in British Columbia. I draw from post-traditionalist sociology for my theoretical framework. I conducted face-to-face individual interviews to develop a collective and individual understanding of the perceptions of seven Indo-Canadian teenage males from four cities in British Columbia. Results indicate that their educational and personal identities are constructed more in relation to their daily social interactions and less in relation to traditional Punjabi cultural norms. Results from the student interviews reveal that they negotiate their identities in relation to social interactions that are always shifting. A pattern emerged whereby the participants are constantly trying to find a sense of self and belonging as they discuss how they identify themselves and their place in relation to school, family, culture, and peer groups. This study has implications for educators and for second generation identity studies. Increasing ethnic and cultural diversity creates a need for educators to encourage and embrace the involvement of parents from the often reluctant Punjabi community. Understanding and recognizing the different ways these youth develop their identities may enable educators and identity researchers to confront the growing academic underachievement of Indo-Canadian high school male youths.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.042 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".