Verbal irony comprehension in older adults with amnestic mild cognitive impairment.
Bibliographic record
Abstract
OBJECTIVE: The present study examined verbal irony comprehension in 31 aMCI and 33 healthy control (HC) subjects. Although nonliteral language impairments have been evidenced in individuals with amnestic mild cognitive impairment (aMCI) or Alzheimer's disease (AD), verbal irony comprehension remained somewhat underinvestigated in these populations. METHOD: A task measured the capacity to attribute Second-order mental state (i.e., theory of mind; ToM) as well as the ability to distinguish an ironic statement from a lie. Subjects were asked to identify, in a short story, whether the final assertion was a lie or an ironic joke. RESULTS: Our results showed lower performance on a verbal irony comprehension task for aMCI individuals compared with those in the HC group. This pattern of results was related to Second-order ToM and executive functions. CONCLUSION: These findings have implications for the conceptualization of aMCI, and foster investigation of social language comprehension in neurodegenerative diseases such as prodromal AD. Results are discussed in light of actual linguistic theories. The importance of evaluating the role of underlying cognitive processes in verbal irony comprehension is also emphasized.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".