Bibliographic record
Abstract
ving-ahta-a 'gives a brief whine or squeak' c.vink-aise-e 'gives a brief whine or squeak'Given the descriptive labels aspectual and momentary, we should expect that either of the two suffixes can attach to all predicates within the same aspectual class.This is not the case.(2) a.Lapsi nukku -i. 1 child sleep -PAST.3SG'The child was sleeping.'b.Lapsi nuk -aht -i.child sleep -ahta -PAST.3SG'The child fell asleep.' c. * Lapsi el -ht -i.child live -ahta -PAST.3SG(2) shows that only some stative predicates can occur with -ahta.This limited application of the two suffixes holds across all aspectual classes, although all examples are not included due to lack of space.Furthermore, the contribution of the suffixes to the interpretation of the predicate varies.In (1b) the acquired meaning is that of a brief action.In (2b) the acquired meaning is that of change of state.The lack of consistency in distribution and interpretation makes the traditional aspectual classification of the suffixes questionable.* We thank Martina Wiltschko and the UBC Linguistics Thesis Anonymous group for helpful comments.All errors are our own.
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) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.483 | 0.003 |
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; both teacher heads agree on what is shown here.
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".