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
Abstract Linguistic Rivalries weaves together anthropological accounts of diaspora, nation, and empire to explore and analyze the multifaceted processes of globalization characterizing the migration and social integration experiences of Tamil-speaking immigrants and refugees from India and Sri Lanka to Montréal, Québec in the late twentieth and early twenty-first centuries. In Montréal, a city with more trilingual speakers than in any other North American city, Tamil migrants draw on their multilingual repertoires to navigate longstanding linguistic rivalries by arguing that Indians speak "Spoken Tamil" and Sri Lankans speak "Written Tamil" as their respective heritage languages. Drawing on ethnographic, archival, and linguistic methods to compare and contrast the communicative practices and language ideologies of Tamil heritage language learning in Hindu temples, Catholic churches, public schools, and community centers, this book demonstrates how processes of sociolinguistic differentiation there are mediated by ethnonational, religious, class, racial, and caste hierarchies. Indian Tamils showcase their use of the "cosmopolitan" sounds and scripts of colloquial varieties of Tamil to enhance their geographic and social mobilities, whereas Sri Lankan Tamils, dispossessed of their homes by civil war and restricted in travel, instead emphasize the "primordialist" sounds and scripts of a pure "literary" Tamil to rebuild a homeland and launch a "global" critique of racism and environmental destruction. This book uses the ethnographic and archival study of Tamil mobility and immobility to expose the mutual constitution of elite and non-elite global modernities, defined here as language ideological projects in which migrants objectify dimensions of time and space through scalar metaphors.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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