Orthogonal versus linear models of acculturation among immigrant Chinese Canadians: A comparison of mothers, fathers, and children
Bibliographic record
Abstract
A multidimensional model of acculturation was examined among 96 immigrant Chinese families living in Canada. All parents were foreign-born, as were 75% of children (average age 12). Each family member completed measures of cultural orientation (behavioural practices), identity, and cultural values. An orthogonal model of acculturation (e.g., host and ethnic culture affiliations are independent rather than linear) was clearly supported for fathers and children. For fathers and foreign-born children, greater involvement in Canadian culture was not associated with a diminishment of ethnic identity or values. For Canadian-born children, this involvement seemed to foster, rather than reduce, the endorsement of ethnic identity and traditional values. For mothers, ethnic and host cultural domains were modestly negatively correlated, providing less support for the orthogonal model. Results are discussed in relation to the conditions that may foster orthogonal versus linear models of acculturation.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".