Contested Locations and Unfixed Borders: A Study About the Frontiers of Greece and North Macedonia
Bibliographic record
Abstract
The paper explores the complex dynamics of border regions between Greece and North Macedonia, focusing explicitly on the areas of Florina and Edessa. Drawing on ethnographic data from the 1990s until now, the study shows how multilingual cultural performances shape the perceptions and interpretations of location and identity. As well, the paper advocates for a spatially focused approach to border studies, one that examines relationships and interactions within specific locations, therefore employing the concepts of crosslocations and aural border to analyze how coexisting locating regimes interact and produce multiple experiences of place in both the same space and across locations. These bordering processes highlight current transformations, such as the performance of Macedonian songs primarily, the Greek state institutions’ challenges in monitoring situations involving non-Greek linguistic expressions, and the prevalence of Macedonian as a term of reference to the language and songs. Finally, the study concludes that cultural performances have the power to transcend state control, reshape border spaces by symbolically abolishing state border regimes, and ultimately produce alternative lived realities concerning place-making and identity.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| 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".