Patterns of Participation in Informal Social Activities among Chinese Immigrants in Toronto <sup/>
Bibliographic record
Abstract
This study addresses two questions. First, among the three major perspectives on integration (i.e., zero-sum, pluralist, and selective integration) suggested in the literature, which is the dominant pattern of the participation level in informal social activities in the ethnic community and in the wider society among new immigrant groups? Second, how well do the factors suggested by these three perspectives explain these patterns? Based on recently collected data about Chinese immigrants in Toronto, Canada, the analyses suggest that nearly half the respondents claim a low level of social participation. Among those who do participate, the pluralist integration pattern is the dominant pattern of participation in informal social activities among today's Chinese immigrants. Though the analysis shows the consistent effect of human capital resources on the pluralist integration patterns, there is no significant effect of either human capital resources or duration in the country on the zero-sum and selective patterns. Implications of the results are discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".