Du patois à l’« harpetan », entre (petite) patrie et nation imaginée: le discours sur le francoprovençal dans le<i>Journal de Genève</i>(1826–1998)
Bibliographic record
Abstract
Abstract In Switzerland, Francoprovençal is still spoken in parts of the cantons of Fribourg and Valais, but has (almost) disappeared from other cantons. The archives of the Journal de Genève (JdG) illustrate the evolution of glottonyms and linguistic representations, ranging from acceptance of the extinction of patois to conservation efforts, and, more recently, to hopes of revitalization. This analysis is based on two corpora organized around 1909, composed of texts containing respectively at least one occurrence of the keywords “patois” (1826–1909) and “franco-provençal” (1909–1998). These corpora also reflect identity construction based on language at a regional, national or transnational level. In the 19th century, the imagined language community applied to “little fatherlands” (cantons), to Romandie or to a cross-border space limited to Geneva and Savoy. In the 20th century, the appearance of the word “Franco-Provençal” led some people to extend the symbolic space to the whole FP area, especially to the Aosta Valley. Even though the “FP cause” remains secondary in the JdG and the discourse on “Harpetan” seems anecdotal, we observe some signs of “proto-national” construction.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".