ALISTAIR MACLEOD'S WRITING AS AN APOLOGY TO SCOTTISH HERITAGE IN CANADIAN LITERATURE
Bibliographic record
Abstract
Scottish emigration to North America is certainly one of the most relevant events in Scottish history. In Canada, Scottish immigrants and their descendants have contributed widely to the formation of Canadian society and culture. In the literary field, writers of Scottish origin as Alice Munro and Margaret Laurence have attained recognition for their work, and certain elements of the Scottish heritage are seen without difficulty in their work. The significance of Scotland is even more deeply felt in the stories of Alistair MacLeod, whose original Cape Breton tales examine the lives of displaced Scots who have frequently had to face difficulty and hardship in their new environment. Family history, oral tradition, nostalgia, clan loyalty, and the connection between Scotland and Nova Scotia have an influence in the lives of most of MacLeod’s characters. This contribution is aimed to establish the ways in which Scotland is shown in Canadian literature written by authors of Scottish descent. Its objective is firstly to broadly discuss the idea of Scotland in Canadian literature, and then, more concretely, to examine the importance of Scotland and Scottish heritage in the stories of Alistair MacLeod. His revealing stories come across more as an oral narrative than as a written one. The oral tradition is an important aspect of the Scottish Gaelic community which MacLeod’s family belongs to, and this fact shows the role of this heritage in his work. Keywords: Scottish emigration, Scottish tradition, Canadian literature of Scottish origin, Alistair MacLeod short stories, Cape Breton, etc.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.034 | 0.014 |
| Scholarly communication | 0.008 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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 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".