Bibliographic record
Abstract
'Excellent...comprehensive...a delightful book. '-TLS 'astonishingly comprehensive book...packed with pleasure '-Christopher Hirst, The Independent Magazine 'This is a wonderfully comprehensive resource which will appeal to anyone interested in language. '-Roy Johnson, Open University Long gone are the days when English as proprietarily used by educated people in the tiny triangle of southern England formed by Oxford, Cambridge and London is deemed correct and all other versions wrong. The Oxford Guide to World English takes as its "descriptivist " starting point that English is now spoken in every continent by over a billion people across the world, about a quarter of them native speakers. In 70 countries worldwide English is an official or semi official language and has a significant role in 20 more. And because of the Internet--the language of which is 75 per cent English--the number of English users is rising exponentially with middle classes everywhere seeking it for their children as a global resource owned by nobody and everybody. Sadly, it has also become a very powerful – almost predatory--language which seriously threatens ‘endangered ’ languages. The regional varieties and their evolution make a fascinating study that forms the main body of Tom McArthur’s book, a spin-off from his The Oxford Companion to the English Language (1992). In Singapore,
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 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 | 0.000 | 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) | 0.010 | 0.001 |
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; both teacher heads agree on what is shown here.
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".