Mexican Immigrants and Temporary Residents in Canada: Current Knowledge and Future Research
Bibliographic record
Abstract
The migration of Mexicans to Canada is a new phenomenon, but it represents one of the most significant increases in the movement of people from Latin America. Since the mid-1990s, the number of Mexicans in Canada has been growing rapidly because of the return of the descendants of Canadian Mennonites who emigrated to Mexico and the provisions of the North American Free Trade Agreement (NAFTA), which eases the entrance requirements for Mexican nationals. This article looks at the number of Mexicans in Canada, the timeframe of entry, and the number of temporary migrants admitted, and it suggests areas for future research.RESUMENLa migración de mexicanos a Canadá, aunque es un fenómeno reciente, ha tenido uno de los incrementos más significativos entre los movimientos de personas de América Latina. Desde mediados de los noventa, el número de mexicanos en Canadá ha estado creciendo rápidamente como resultado del retorno de los descendientes de la población menonita que emigró a México y de las disposiciones del Tratado de Libre Comercio de América del Norte (TLCAN), que facilita el ingreso de ciudadanos mexicanos. En este artículo se examina el número de mexicanos en Canadá, el tiempo de su ingreso y el número de migrantes temporales admitidos, y sugiere áreas de investigación para el futuro.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.014 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".