Exploring Sir Walter Scott's Notions of Scottish Identity in the Context of Brexit and Scottish Independence
Bibliographic record
Abstract
Numerous studies have investigated the concept of the nation and Scottish identity in the prose fiction of Sir Walter Scott. These studies have traditionally highlighted Scott’s role in reshaping public perceptions of the Scottish Highlands, their culture, and the suffering of the Highlanders under the British Empire, through his detailed knowledge of Scottish history and culture. However, it is essential to reconsider this issue in light of recent historical and political developments in Scotland after Brexit and the calls for independence by various Scottish thinkers, writers, and political leaders, aiming to join the European Union. This study revisits Scott’s concept of the Scottish nation and identity in his two texts, “The Highland Widow” and “The Two Drovers”. The findings suggest that the nationalist sentiment in Scott's writings is relevant to the social and political changes occurring in Scotland, Europe, and globally. It can be argued that much of the contemporary discourse on Scottish independence can be traced back to Scott's works, indicating a recurring historical pattern. Scott expressed concern for the loss of Scottish national identity and the right of self-determination. His texts vividly demonstrate the interconnection of past and present events, embodying both historical and contemporary perspectives.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.046 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".