Training studies provide new insights about mechanisms of irony development
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
Abstract In verbal irony, there is a contrast between the literal meaning of what is stated and the intended meaning of the words. As successful comprehension of irony requires going beyond lexical meaning, the ability to understand it tends to develop late compared to literal language and it is challenging for children. Numerous explanations have been proposed for the late development of irony comprehension, including emerging language and perspective-taking skills, working memory, and metapragmatic knowledge. Irony training studies have the potential to be an effective means of testing these explanations and moving beyond correlational designs. We review recent studies that tested this possibility. The results suggest that even short-term irony training can be effective for improving children’s irony comprehension accuracy, and that metapragmatic knowledge is a key mechanism of irony understanding. We outline directions for future training studies and link those to possibilities for both intervention and theory development.
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) | 0.001 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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