« Don't I long for Montreal »: L'identité hybride d'une jeune migrante franco-américaine pendant la Première Guerre mondiale
Bibliographic record
Abstract
Between July 1917 and October 1918, Alma Drouin, a young Franco-American woman from Laconia, New Hampshire, sojourned in Montreal. She had been drawn to Canada's metropolis by the opportunities that it offered for professional mobility, as well as by its big-city attractions. Through an analysis of Alma's correspondence and her diaries, we have attempted to understand the ways in which she represented her daily life in Montreal, along with the place of this big city in her broader mental geography. Alma Drouin possessed a hybrid identity and a transnational consciousness, the latter evident in her participation in a cross-border network of correspondents. Both this network and Alma's use of geographical mobility to achieve social mobility were part of a long migratory tradition in the western world and in French Canada. While Alma constructed herself in her correspondence and her diaries as an independent "working girl", she was nonetheless dependent upon a significant cross-border network of relatives, friends, and acquaintances.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.030 | 0.017 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".