Neighbourhood Ethnic Concentration and Discrimination
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
We investigate the association between the residential concentration of Chinese in Toronto and discrimination as experienced and perceived by Chinese immigrant residents. A unique aspect of this study is our focus on perceived employment discrimination. We find that Chinese immigrants living in neighbourhoods with a high concentration of other Chinese residents are more likely to perceive employment discrimination against Chinese people as a group, and are more likely to report exposure to ethnically motivated verbal assault, than are Chinese immigrants living elsewhere. Our results are consistent with studies of other populations. However, we argue that theory and policy related to ethnic concentration and discrimination should recognise that effects of ethnic concentration on discrimination are likely to vary with the ecological setting under investigation (for example, neighbourhoods versus larger areas), as well as by size of locale (city, region, or country), and the ethnic groups involved.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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