The early processing of metaphors and similes: Evidence from eye movements
Bibliographic record
Abstract
This eye movement study examined how people read nominal metaphors and similes in order to investigate how the surface form, or wording, of these expressions affected early processing. Participants silently read metaphors (knowledge is a river) and similes (knowledge is like a river). The identical words were used in the topic-vehicle pair (knowledge-river) in both conditions. Experiments 1 and 2 demonstrated longer reading times and a higher proportion of regressions in metaphors than in similes. Familiarity modulated later metaphor effects in Experiment 1, but not in Experiment 2. Reading ability did not modulate the metaphor effects in Experiment 2. Results indicate that readers revised their initial interpretation of metaphors before moving on to read new text. This suggests that readers did not initially hold figurative interpretations of apt nominal metaphors that are somewhat familiar. Metaphor interpretation may be fast, but it is not easy.
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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 | 0.001 | 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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".