FROM CONSCIENTIOUS FRENCH CANADIAN TO ENTERPRISING AMERICAN: MAKING MEMORY & MEASURING SOCIAL MOBILITY OF FRENCH CANADIANS 1880-1940
Bibliographic record
Abstract
This thesis studies the social mobility of French-Canadian immigrants to the Keweenaw Peninsula 1880-1940 and memory among their descendants to explain how French-Canadian culture in the Keweenaw faded over time. Oral histories were conducted to gain an understanding of the current French-Canadian culture in the Keweenaw, understand how the current generation perceives changes in culture over time, and provide possible explanations for why French-Canadians thrived in the Keweenaw. Tax records from the Michigan Technological University Archives and social mobility scores, mother tongue, and homeownership information from the United States census was analyzed to measure language loss, and the social mobility of French Canadians and the general population in the Keweenaw. This analysis was used to compare the social mobility of French Canadians to the general population in the Keweenaw and to conduct three case studies of individuals during the study period. Combining oral histories and historical data analysis allowed for a clearer view of the difference between mobility and the perception of mobility as was parsed out during oral histories. Keweenaw French Canadians were found to have had upward mobility during the period of study while continuing to hold onto their language and culture into the early twentieth century.
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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 | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".