‘Bidh mi Cumha mu d’ Dhéibhinn gu Bràth’ [I Shall Grieve for You Forever]: Early Nova Scotian Gaelic Laments
Bibliographic record
Abstract
Gaelic laments played an integral role in the deathways of the Highland Scots of Nova Scotia. These often passionate outpourings of grief served as lasting obituaries for the dead and epitomized the richness and vigour of the Gaelic language. As sincere emotional responses, they gave a poetic and performative dimension to the deaths of clergy and other noted community members, as well as beloved relatives and victims of sudden, unexpected deaths, such as drowning and even murder. A casual scan of Gaelic printed sources from newspapers and anthologies will immediately impress the reader with the prolific number of extant elegies. It is therefore necessary to confine the scope of this article to the earliest examples in Nova Scotia, focusing primarily on the creations of the better known, established poets. Several works by less familiar bards have also been included in this study.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".