Data in support of: A’ Tarraing Gàidheil Ghlinne Garraidh Bho Thobair Mhic-Talla
Bibliographic record
Abstract
This thesis investigates the Gaelic heritage of Glengarry County, Ontario, by analyzing contributions made by or about Gaels of Glengarry County in Mac-Talla (1892–1904), a historically and culturally significant all-Gaelic newspaper published in Sydney, Nova Scotia. While Glengarry County has long been recognized as a major Gaelic settlement in Canada, no study to date has systematically examined Gaelic narratives concerning the Gaels of Glengarry in Mac-Talla. This research uses a textual analysis to explore the themes and values present in news items, including letters, song-poems, and articles. It examines how these texts reflect the Gaels of Glengarry County’s perceptions of their community, language, and cultural identity. The findings reveal that the Gaels of Glengarry County placed particular emphasis on ancestry, agriculture, hospitality, and military experience. Moreover, evidence suggests that Mac-Talla played a key role in fostering Gaelic literacy and sustaining a sense of collective belonging amid language decline. By foregrounding these Gaelic narratives, this study contributes to a deeper understanding of Gaelic heritage in Glengarry County at the turn of the 20th century.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.049 | 0.044 |
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".