Contrasts and Positions in Information Structure
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
Information structure, or the way the information in a sentence is 'divided' into categories such as topic, focus, comment, background, and old versus new information, is one of the most widely debated topics in linguistics. This volume incorporates exciting work on the relationship between syntax and information structure. The contributors are united in rejecting accounts that assume designated syntactic positions associated with specific information-structural interpretations, and aim instead to derive information-structural conditions on word order and other phenomena from the way syntax and syntax-external systems interact. Beyond this shared aim, the authors of the various chapters advocate a number of approaches, based on different types of data (syntactic, semantic, phonological/phonetic) from a range of languages. The book is aimed at specialists in syntax and/or information structure, as well as students and linguists in related fields keen to familiarise themselves with current issues in this fascinating area of research.
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 | 0.000 | 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) | 0.000 | 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