Bibliographic record
Abstract
If the 1707 Act of Union removed the immaterial legal and political border between England and Scotland by merging them into the single kingdom of Great Britain, it could not erase the almost impassable natural boundary dividing the twin sisters. This tangible geographical barrier remained as a magnificent reminder of a former separation, thus questioning the disappearance of the national frontier. The confrontation between abstract and concrete boundaries, which is at stake in historical Scotland, is staged in Walter Scott’s The Heart of Midlothian set a few decades after the Union. The heroine’s physical journey across the Anglo-Scottish border gradually takes on a more symbolic significance as she trudges through the marches to redeem her sinful sister. In studying the novel, I will analyse the series of embedded tangible boundaries present on the British territories and show how they are constantly crossed by the protagonists. This physical crossing of concrete borders often goes with the mental crossing of abstract barriers. Overstepping a physical boundary can lead to transgressing moral and societal limits as it is exemplified with the Scottish Borders, a den of iniquity and unlawful transactions. External borders can thus embody more internal boundaries and serve to map territories of the mind.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.029 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".