"Words apart": Performing linguistic and cultural identities in Cheticamp, Nova Scotia
Bibliographic record
Abstract
Globalizing processes of late capitalism shape local cultures in complex and contradictory ways, exacerbating assimilation and alienation in geographically and culturally marginalized communities and, paradoxically, empowering disenfranchised groups by facilitating communication between diasporic populations and providing access to information, images, and commodities. This dissertation explores the ways in which linguistic difference, geographic isolation, and cultural marginalization have contributed to collective consciousness and feelings of distinctiveness in Chéticamp, an Acadian community in rural Nova Scotia, Canada. I examine forms of cultural work—such as genealogical research, community museums, and cooperative associations—as cultural performances in which community members envision and enact their Acadian identities. Performed identities are inauthentic in the sense that they are actively negotiated and subject to ongoing adaptation and transformation; yet they are also authentic in the sense that they are deeply felt and central to understandings of our experiences, our relationships, and our place in the world. Examining Acadian ethnic and linguistic identities through a performance lens thus illuminates possibilities for cultural survival in contexts of uncertainty and change.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".