Bibliographic record
Abstract
Abstract This article yokes family stories about Robert Burns as a literary, cultural, and amicable influence upon the Bishop and Cleghorn families. It delves into Burns’s Scotland as lived with the article author’s ancestor Robert Cleghorn; they shared verses, sung and dined together, and exchanged letters about poetry and farming in Edinburgh and Dumfries. The Cleghorn and Bishop families brought Burns’s poetic culture to Canada. Elizabeth Bishop’s grandfather, William “Pa” Bulmer, read Burns and the Bible in the Great Village family parlor during evenings, and Bishop inherited stories of Burns being read during the Maritime seafaring adventures of William Hutchinson, the brother of her grandmother “Gammie.” Bishop’s childhood absorption of Burns influenced her oft-expressed wanderlust, her use of ballad forms, and her unflinching inclusion of abjection in poetry. Bishop’s Bulmer family hailed from Yorkshire and sailed to Nova Scotia in the 1740s. Bulmer/Boomer migrations to Canada continued in the early 1800s, including the author’s Boomer ancestors, Michael and his daughter Mary Boomer, who married my great-great-grandfather Andrew Cleghorn. Boomer genealogy from the Bulmer and surrounding villages in Yorkshire extends back to the clan’s historical roots as Huguenots in France exiled by Louis XIV. These 500-year-old circuits reveal diasporic culture at work.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.018 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".