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
Carmen Fought (ed.), 2004, Sociolinguistic Variation: Critical Reflections . Oxford Studies in Sociolinguistics. New York: Oxford University Press, xv + 214 pages, ISBN 0‐19‐517039‐3 (hbk) Diana Yankova, 2004, Legal Language Made Simple: Statutory Provisions in English and Bulgarian . Sofia: Tip‐Top Press, 189 pages, ISBN: 954‐8964‐60‐0 Gunilla Anderman and Margaret Rogers (eds.), 2005, In and Out of English: For Better, For Worse? Clevedon/Buffalo/Toronto: Multilingual Matters, 303 pages, ISBN 1‐85359‐788‐0 (hbk), ISBN 1‐85359‐787‐2 (pbk) Ulrich Ammon et al., 2004, Variantenwörterbuch des Deutschen. Die Standardsprache in Österreich, der Schweiz und Deutschland sowie in Liechtenstein, Luxemburg, Ostbelgien und Südtirol . Berlin/New York: Walter de Gruyter, LXXV + 954 pages, ISBN 3‐11‐016574‐0 Werner Hüllen, 2005, Kleine Geschichte des Fremdsprachenlernens . Berlin: Erich Schmidt Verlag, 184 pages, ISBN 3‐503‐07946‐7 Helena Halmari and Tuija Virtanen (eds.), 2005, Persuasion Across Genres: A linguistic approach . Amsterdam/New York: John Benjamins, viii + 257 pages, ISBN: 90‐272‐5373‐0 (EUR), 1‐5811‐588‐7 (US) Michael Ashby and John Maidment, 2005, Introducing Phonetic Science . Cambridge Introductions to Language and Linguistics. Cambridge University Press, viii + 222 pages, ISBN: 0‐521‐00496‐9 Ewa Da̧browska, 2004, Language, Mind and Brain . Edinburgh University Press, 280 pages, ISBN 0‐7486‐1475‐3 (pbk), 0‐7486‐1475‐5 (hbk) Response to Kumiko Murata's review of Genetically Modified Language
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 | 0.001 | 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it