"Langscapes" and language borders: Linguistic boundary-making in northern South Asia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Drawing on examples from the linguistically-diverse Himalayan region, in this contribution we explore three main questions. First, we ask how language boundaries both contribute to and defy the imagination of the nation-state. Second, we investigate how such boundaries are transcended and become redefined through increased mobility and technological innovation. And third, we examine what it means for languages to become detached from the landscapes in which they were traditionally situated and historically spoken. Unfixed and unfixable, languages resist the limitations and constraints of nation-states—both colonial and contemporary—that strive to delineate their boundaries along "clear" and often monolingual lines. In the Himalayan region in particular, plural linguistic identities challenge reductive national logics that seek to bind or appropriate languages for hegemonic and ideological goals. Not only are national borders decreasingly relevant for the maintenance and transmission of languages, but the global dispersal of people and the languages they speak, sign and write are combining with accessible digital media to transform internally maintained language borders as well.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it