Links between White Settler Colony in Quebec and the Barriers to the Economic Integration of Skilled Latin American Immigrants
Bibliographic record
Abstract
Although Quebec has gone through a period of strong economic growth, it is now struggling with a new labour shortage caused by the shrinking labor pool. Ironically, many foreign-educated immigrants face difficulties associated with entering the labour market and integrating into the workforce. Specifically, recent immigrants from African, Asian, and Latin American countries, who are considered part of visible minority groups, have faced barriers to entry. This paper focuses on the Latin American economic immigrant group and argues that the gap on human and social capital of minority group immigrants and majority group Quebecers cannot be explained simply by analyzing racially motivated actions. Rather, Quebec as a White colonial settler society plays a much more important role in making it very difficult for skilled immigrants to get equal levels of income. By analyzing postcolonial concepts, this document underlines how language politics, notions of citizenship and global neoliberal capitalism have shaped a harsh labour market that contributes to structural causes for inequality among skilled Latin American immigrants in Quebec.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".