“Brain Abuse”, or the Devaluation of Immigrant Labour 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
Many professional and skilled Canadian immigrants suffer from de‐skilling and the nonrecognition of their foreign credentials. Consequently, they are underrepresented in the upper segments of the Canadian labour market. Rather than accepting this devaluation of immigrant labour as a naturally occurring adjustment period, I suggest that regulatory institutions actively exclude immigrants from the upper segments of the labour market. In particular, professional associations and employers give preference to Canadian‐born and educated workers and deny immigrants access to the most highly desired occupations. Pierre Bourdieu's notion of institutionalised cultural capital and his views of the educational system as a site of social reproduction provide the entry point for my theoretical argument. I find that the nonrecognition of foreign credentials and dismissal of foreign work experience systematically excludes immigrant workers from the upper segments of the labour market. This finding is based on data from interviews with institutional administrators and employers in Greater Vancouver who service or employ immigrants from South Asia and the former Yugoslavia.
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 | 0.000 |
| 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