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
Two psycholinguistic experiments were carried out in Italian to test the role played by the feature that distinguishes mass nouns from count nouns, as well as by the feature that distinguishes singular nouns from plural nouns. The first experiment, a simple lexical decision task, revealed a sensitivity of the lexical access system to the processing of the features Mass and Plural as shown by longer reaction times. In particular, nouns in the plural yielded longer reaction times than in the singular except when the plural form was irregular. Furthermore, the feature Mass also affected processing, yielding longer reaction times. In the second experiment, a sentence priming task, both the Plural and the Mass effects did not surface when a grammatical sentence fragment was the prime. These data show a direct correlation between the linguistic ‘complexity’ of plural/mass nouns and processing time. They also suggest that this complexity does not affect normal fluent spoken language where words are embedded in a semantic and syntactic context.
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) | 0.000 | 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 it