New Gaelic Speakers in Nova Scotia and Scotland : Heritage, Motivation and Identity
Bibliographic record
Abstract
What are the main similarities between new cohorts of Gaelic speakers in Nova Scotia and Scotland, and what key differences distinguish them? In Scotland, public policy to support and maintain the language has increased substantially in the past 40 years. In addition to Scotland’s 57,602 speakers, however, Gaelic has persisted in Nova Scotia since the 18th century and a third of Nova Scotians are descended from families who spoke the language historically. As a response to policymakers’ language planning priorities in both polities and drawing on three years of ethnographic research in Scotland and Nova Scotia, this book presents a comparative analysis of new speaker motivations, identities and linguistic ideologies. An innovative approach to examining bilingual discourses is employed to demonstrate key distinctions and commonalities among new Gaelic speakers, with a view to informing future policy to generate greater numbers of proficient speakers on both sides of the Atlantic.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.004 | 0.010 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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 teacher head, 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".