Time-dependent effects of decomposability, familiarity and literal plausibility on idiom meaning activation
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
We address a core question about idioms relevant to formulaic language generally: are the figurative meanings of idioms directly retrieved or compositionally built? An understanding of this question has been previously obscured by the fact that idioms vary in ways that can affect processing, and also because experimental tasks, which differ across studies, probe different kinds of comprehension processes. We thus investigate how linguistic differences among idioms in semantic decomposability, familiarity, and literal plausibility modulate figurative meaning activation using cross-modal semantic priming, which is ideal for tracking activation of a particular target meaning over time. Across two experiments, we obtained two key findings. First, a comparison of different prime-target delay conditions suggests that figurative meaning activation steadily accrues as the idiom unfolds to 1000 ms later. Second, different linguistic attributes of idioms modulate figurative activation at different time points: increased literal plausibility interferes with idiom priming prior to the offset of the phrase, increased familiarity facilitates idiom priming at phrase offset, and increased semantic decomposability (surprisingly) interferes with idiom priming 1000 ms following phrase offset. These results contradict strong decompositional models of idiom processing and rather suggest that multiple linguistic factors jointly constrain figurative meaning retrieval in a time-dependent fashion.
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 | 0.001 | 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