Resisting the Melting Pot: The Long Term Impact of Maintaining Identity for Franco-Americans in
Bibliographic record
Abstract
The scale of the persistent, concentrated immigration from Mexico is a source of concern to many in the United States. The perception is that Mexicans are not assimilating into mainstream America as previous generations of immigrants did. In this paper we look at the emigration of approximately 1 million French-Canadians who moved to the United States, with the bulk of the migration occuring between the end of the Civil War and 1930 and with most settling in neighboring New England. What makes this episode particularly interesting is the fact that the French-Canadian immigrants exerted considerable efforts to maintain their language and to replicate their home country institutions, most notably the schooling system, in their new country. This explicit resistance to assimilation generated considerable attention and concern in the U.S. over many years. The concerns are strikingly similar to those often invoked today in discussions of policy options regarding immigration from hispanic countries, notably Mexico. We look at the convergence in the educational attainment of French Canadian immigrants across generations relative to native English-speaking New Englanders and to other immigrants. The educational
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.
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 | 0.001 | 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 | 0.001 | 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 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".