Not Ethnic Enough: The Cultural Identity Imperative in International Adoptions from<scp>C</scp>hina to<scp>C</scp>anada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Based on a qualitative research of adoptions from C hina to C anada, this article analyses changing attitudes and approaches to racial and ethnic differences in adoptive kinship in the last few decades. I argue that culture celebration labour over children adopted from C hina is shaped by the contemporary C anadian culturalist ethos, the O rientalist imagination, and the A sian model minority stereotype. The cultural identity imperative, a core component of multicultural governmentality, perceives culture as an object, demands non‐white C anadian subjects with rooted belongings, and operates in ways that sanctions and incorporates, as it depoliticises and subordinates.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it