Categories of grammar and categories of speech
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
Abstract This chapter tracks the response to morphosyntactic variability in a massive corpus of prescriptive grammars of French dating from the 16 th century through the present, and relates it to current mainstream approaches. Analysis shows that although variant forms have been recognized since the earliest times, only rarely have they been acknowledged as variant expressions of the same meaning or function . Instead three major strategies are marshaled to factor variability out. Their aim is not to prescribe or even describe, but simply to associate each form with a dedicated context of occurrence, in keeping with the dictates of the traditional grammatical categories from which they derive. This state of affairs is encapsulated in the Doctrine of Form-Function Symmetry . Although it fails to account for the data of spontaneous speech (which reveals asymmetry in the form of robust variability subject to regular conditioning instead), it continues to mold both prescriptive and formal linguistic treatments of variability, contributing to the growing gulf between prescription, description, and actual usage.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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