Bibliographic record
Abstract
The distinction between VY as a verb and as a dscourse marker was first proposed by E. Konig in 1897' and is now generally accepted.W. hchter called the latter a text dei~ticon.~Unlike regular verbs, the discourse markers w.r and ;rqm need not agree in person, gender, or number with the subject of the clause to whch they are attachedS4 Nevertheless, the exact discourse function of -m/?-rn is still open to debate.The explanations cover a wide-ranging spectrum, includmg inter aka, a semantically empty temporal marker: an emphasis of the temporal setting: a marker of progress,' a connection that introduces an independent narrative or a new section: the beghung of a new narrative or a turn of the plot in the narrative: an interruption without a significant break,'' and "continuity at an intra-scene level."llOthers simply 'This is an expanded and revised version of a paper presented at the NAPH session of the annual AAR/SBL meeting in Toronto, Canada, November 26,2002.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".