Turning the Tide in Acadian Nova Scotia: How Heritage Tourism is Changing Language Practices and Representations of Language
Bibliographic record
Abstract
Abstract Drawn from ethnographic data collected in a small coastal village on Cape Breton Island, where tourism-related industries are emerging in response to the deep sea fishing crisis that hit the area in the early 1980s, this analysis focusses on the effects of tourism on linguistic practices and representations. It is argued that these effects are not without consequence on the way French-speakers in the region (re)construct their identity. Increased contact with outsiders leads to two seemingly contradictory tendencies: differentiation and standardization. These two strategies exert a marked influence on the social structure of the Acadian community. In this particular case, speakers must constantly negotiate an equilibrium between the desire to assert their specificity through discriminating traits that showcase their linguistic as well as cultural differences, on the one hand, and their need to communicate with a broader audience, on the other, the latter entailing a certain degree of linguistic standardization. This analysis focusses on how these speakers manage to perform this balancing act between differentiation and standardization.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".