Conceptual metaphor activation in Chinese–English bilinguals
Bibliographic record
Abstract
Abstract An episodic memory experiment was conducted to examine whether “conceptual metaphors” influence how metaphorical expressions are processed and encoded into memory. Forty Chinese–English bilinguals read lists of expressions in their L1 and L2. The data revealed that after reading a series of metaphorical expressions based on the same underlying conceptual metaphor, participants falsely recognized new sentences that instantiated the same conceptual metaphor mapping more often than control sentences that did not share this mapping. This false memory effect was robust in both participants’ L1 and L2, with the only difference between languages being that participants showed more memory errors for literal sentences related to the source domain of the conceptual metaphors when reading in their second language (i.e., English). These data suggest that although bilinguals can access the appropriate conceptual metaphors in their second language, they have difficulty inhibiting literal meaning when processing metaphorical statements.
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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 | 0.001 |
| 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) | 0.004 | 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".