Language and Minority Rights: ethnicity, nationalism and the politics of language (2nd ed).
Bibliographic record
Abstract
Published in Nov 2011, this is a major revision of my seminal analysis of language rights & education. The book has reconfigured the field by providing an interdisciplinary analysis of language, identity and education alongside a defence of group-based language rights. It draws on sociology, sociolinguistics, politics, education, law, & explores in-depth international examples, including NZ, Wales, Catalonia, Quebec, France and USA. The 1st ed. was described as ‘a book of breathtaking conceptual and geographical scope’ (Ency. of Applied Linguistics). It has been cited over 560 times (Google Sch), shortlisted for the BAAL Book Prize 2002 & awarded an American Library Association Outstanding Title Award 2008. The 2nd ed. has 50,000 wds (40%) of new material. It addresses new theoretical developments over the last decade in sociolinguistics as to whether languages are definable, in sociology & political theory re cosmopolitanism and globalization, and in education re English as the language of mobility.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.006 |
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".