Performing the Anglo-Scottish Border: Cultural Landscapes, Heritage and Borderland Identities
Bibliographic record
Abstract
Recent times have seen much reflection on the nature of the Anglo-Scottish border region; its past, present and potential future. Political concerns have rightly absorbed much of the attention, but at the same time important light has been shed on the legacy of cultural engagements and forms of interaction that might be said to perform and produce this border over time and render it particularly distinctive. A soft, internal border, the territory considered in this article is one with an ancient feudal past and a heavily conserved, preserved and, in parts, still militarized present. It is predominantly rural and characterized by large swathes of forestry, agriculture, and moorland, all of which raise issues of aesthetic and environmental, as well as social and economic sustainability. The concern in the case studies presented in this article is how, through the relational and processual perspectives of border studies and cultural landscapes, we might comprehend the over layered and sedimented histories, the nature of identities, heritage and experience of place here. I consider too the ways in which recent forms of creative practice are contributing to a wider investigation of this region and re-conceptualizing the cultural significance of the border.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.015 | 0.025 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 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".