“A Man Without a Country”: Experiences of Francophone Migration during the Quiet Revolution
Bibliographic record
Abstract
There are numerous studies on shifting Francophone-Anglophone relations during the Quiet Revolution, and migration studies tend to focus on Anglophones who sought opportunity outside Québec (Pettinicchio 2012). However, less attention has been paid to the experiences of Francophones who migrated to English Canada during this period. Undeniably, these people had their own unique political, economic and social motivations for leaving Québec at this time. Their adopted communities brought experiences of cultural assimilation and language loss, which have been previously explored in relation to First Peoples in Canada and the indigenous groups of other countries (e.g. Hallett et al. 2007; Wanhalla 2007). Using the oral history of a Francophone whose family migrated from Québec to British Columbia during the 1960s, I reveal the roles of motivation, alienation, assimilation and language in his migration experience. I argue that (1) the motivations of these Francophone migrants were complex, involving not only politico-economic reasons but also social and personal ones, (2) their subsequent experiences of alienation and assimilation were intimately connected to language and were sometimes self-enforced to prevent low-level persecution, (3) this partial assimilation resulted in a lack of belonging in both their original and adopted communities. My informant’s narrative cannot speak for all interprovincial Francophone migrants, but it does provide insight into the intimate nuances and complexities of the situation that are often overlooked in generalized statistical approaches.
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 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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.035 | 0.017 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".