Continental East–West and Global North–South? Re-imagining (B)orders in Globalization
Bibliographic record
Abstract
A perspective from border studies imagines an emerging global order based on how an increasing number, extent and intensity of borders, bordering practice and borderlands interact with the forces of globalization. The result of this interaction is an evolving, richly textured and complex layering of global transition in which several processes are apparent with spatial signatures. These are related to and explained by new conceptualizations of borders and an emerging theory of borders in motion. Foremost among the conceptualizations is the notion of shifting: borders and borderlands are not necessarily where they appear to be or where they once were. Another is positioning: imposition and superimposition that creates constantly changing border spaces, bordering practices and border places. Finally, packing develops intensities of border function and articulates variable border production. These conceptualizations of borders in motion offer a new credence and framework of inherited and enhanced territorial differentiation and compilation, which elevates the discourse beyond cardinality, colonialism and continentality, interrogates these ingrained notions, and suggests that the world is indeed evolved and evolving (b)ordered space.
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 | 0.003 | 0.037 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".