Bibliographic record
Abstract
Chapter 3 explores the characteristics of pragmatic markers and focuses on both their function during a particular period and their development over time. Diachronically, pragmatic markers develop from content words, phrases, or clauses that gradually acquire a distinctive syntactic form and discourse-pragmatic functions and follow various pathways, from adverb > conjunction > pragmatic marker, from sentence-internal adverb > sentential adverb > pragmatic marker, from main clause > ambiguous clause > parenthetical, from adverbial or imperative clause > pragmatic marker. A number of examples of such pathways are provided, where it is shown that the historical data may be messy and require nuanced interpretation. For clausal pragmatic markers, the “matrix clause hypothesis” is critically examined. The process of language change that best accounts for the development of pragmatic markers, including lexicalization, pragmaticalization, grammaticalization, and cooptation, is still a matter of debate, though the majority view is that if “grammar” is broadly understood, pragmatic markers are best seen as undergoing grammaticalization (decategorialization, desemanticization).
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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".