Neutralizing Free Choice Items via Maximal Domain Restriction: Farsi -i Indefinites
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
This paper identifies two types of free choice items (FCIs) in Farsi: yek-i DPs and har -i DPs. Their distribution and interpretation pose a puzzle: yek -i DPs pattern with other existential FCIs, and har -i DPs with other universal FCIs, but both items lose their prototypical FCI behavior when they combine with the accusative marker -ro. The paper shows that the loss of FCI behavior follows from an alternative-based analysis of FCIs (Chierchia 2013) under some assumptions about the semantic effect of -ro. The analysis parallels the explanation for the loss of FCI status of Spanish algunos presented in Alonso-Ovalle & Menéndez-Benito 2011 in that it also relies on the derivation of alternatives that are equivalent to the assertion, hence not excludable.
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 | 0.000 |
| 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) | 0.001 | 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