Keeping Up Appearances Within the Ethnic Community: A Disconnect between First and Second Generation South Asians’ Educational Aspirations
Bibliographic record
Abstract
Second generation South Asian youth are defined as part of the model minority based on their educational success in Canada and elsewhere. The literature explaining these successes highlight parental pressures as a determinant. Based on a qualitative study of South Asian second generation youth in Toronto, we examine their educational experiences, and their interpretations of these experiences. We find that there is a disconnect between the first and second generations' motivation for academic achievement, which causes significant intergenerational tensions. Our findings lend support to the arguments that immigrant parents often exert authoritative influence on their children's educational paths; however, our findings also shed light on why the second generation might interpret these pressures as problematic. We argue that among our participants, the tension is not simply about the educational pressures themselves but more so their origin: their parents' collectivist concerns about family status and prestige. The pressure to please their parents in order to impress the ethnic community is what these second generation youth feel is so problematic and contributes to intergenerational tension. The findings indicate the need to approach second generation experiences using new lenses, particularly by synthesizing understandings of their educational outcomes with their realities of being embedded in collective communities. By way of conclusion, the impact on migrant settlement processes across generations is discussed.
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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 | 0.001 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".