Examining ambiguous adjectives in adjective-noun phrases
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
The meaning of a modifier is influenced by the noun it modifies (Murphy, 1988). To determine how alternative senses of ambiguous adjectives are represented, we examined the processing of noun phrases. Ambiguous adjectives were paired with nouns such that the interpretation of the phrases used the dominant or subdominant sense (e.g., green conference ). Participants verified interpretations (Experiments 1 and 2) or made sense-nonsense judgments (Experiments 3 and 4) to target phrases that were preceded by primes that were related to a single sense of the ambiguous modifier. Responses to targets were facilitated by consistent primes, and either unaffected (in the verification task) or facilitated (in the sense-nonsense task) by inconsistent primes. Furthermore, responses were influenced by the strength of both senses. Results support ambiguous word representation as a shared core-meaning with sense specialization.
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) | 0.002 | 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 it