Nominal Syntax at the Interfaces. A Comparative Analysis of Languages with Articles. By Giuliana Giusti (2015). Newcastle upon Tyne: Cambridge Scholars Publishing. Reviewed by Alexandra Rehn.
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
Il volume ha ricevuto due endorsement (Nigel Vincent, emeritus, University of Manchester; Alexandra Cornilescu, emerita, University of Bucharest); \nuna recensione nel sito Joseph W Windsor University of Calgary Linguist list, http://www.cambridgescholars.com/productreviews/60893 \ntre recensioni in rivista (Alexandra Rehn, University of Konstanz, in Studia Linguistica 2-s2.0-85055991763; Ana Maria Brito, University of Porto, in Linguística: Revista de Estudos Linguísticos da Universidade do Porto http://ojs.letras.up.pt/index.php/EL/article/view/3438; Alexandru Nicolae, University of Bucharest, to appear in Revue Roumaine de Linguistique 2017(3) https://www.lingv.ro/images/RRL 4 2017 09-Recenzii.pdf
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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