indefinite can take scope out of the ‘if ’ clause.
Bibliographic record
Abstract
The... sixth?... meeting of the McGill whenthusiasts, Winter 2008. Table 1 shows the paradigm for a couple of types of indefinite. Yanovich (2005) is investigat-ing the proper semantic representations of these indefinites (in fact, primarily just the first three, including cases where the bare interrogatives can function as indefinites). There are, in particu-lar, two types of semantic representations that he is considering: Choice functions and Hamblin indefinites. 1 The Russian-to series (1) Kto-to who-TO vošel came v into komnatu the room ‘Someone came into the room’ Yanovich shows, with the following examples, that indefinites formed with-to can take wide scope, even when they are located within a movement island. In each of the following cases, the wh-to is inside an ‘if ’ clause, but can be interpreted either inside (if> ∃) or outside ( ∃> if). He tries it for all kinds of indefinites, arguments and adjuncts. The result is the same in each case: the interrogative to nibud ’ libo ni kto ‘who ’ kto-to kto-nibud ’ kto-libo nikto čto ‘what ’ čto-to čto-nibud ’ čto-libo ničto gde ‘where ’ gde-to gde-nibud ’ gde-libo nigde kogda ‘when ’ kogda-to kogda-nibud ’ kogda-libo nikogda kak ‘how ’ kak-to kak-nibud ’ kak-libo nikak kakoj ‘what/which ’ kakoj-to kakoj-nibud ’ kakoj-libo nikakoj
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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) | 0.002 | 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".