The Colour of Poverty: A Study of the Poverty of Ethnic and Immigrant Groups in Canada
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
Research on immigrants' socio‐economic performances in Canada has produced mixed results. One reason for this has been the fact that many studies have used measures that rely on average performance of immigrants, and also treat immigrants as a homogeneous group. Also, some measures of economic performance are unnecessarily complicated. The present article argues that this practice masks the diversity of experiences that exist among immigrants. In particular, it is argued that indices based on average income do not adequately reveal the status of low income immigrants. Using poverty status as an indicator of economic performance, the study xamines and compares different groups of immigrants, in terms of their ethnic origin, period of immigration, age at immigration, and their geo‐graphical location in Canada.
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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 | 0.000 | 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 | 0.000 |
| 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