Mexicans, Canadians, and the Reconfiguration of Continental Migrations, 1915–1965
Bibliographic record
Abstract
Abstract By adopting a comparative approach and a supra-national perspective, this chapter analyses the reconfiguration of migrations that occurred on a continental scale between the First World War and the late 1960s. It reconstitutes the main patterns marking the migration movements from Canada and Mexico to the United States during a period when Southern and Eastern European flows were drastically curtailed by U.S. quota regulations and the two neighboring countries became major contributors to the U.S. economy. Central to the chapter is the analysis of cross-border social spaces that emerged as Canadian and Mexican migrants gave rise to networks (based on kin and home-town relations) through which they moved in their search for economic betterment. This chapter reveals previously unknown aspects of the process whereby the socio-economies of the three North American countries became entangled—an aspect that can hardly be addressed by the single national historiographies.
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How this classification was reachedexpand
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 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".