Normative data for the Comic-Strip Task in the French-Quebec population aged 50 and over
Bibliographic record
Abstract
The Comic-Strip Task (CST) is a measure of Theory of Mind (ToM), a key component of social cognition. Performance on cognitive tests, including those assessing social cognition, can be influenced by demographic factors such as age, education, sex and cultural background. This study aimed to establish normative data for the CST in French-Quebec people aged 50 and over. A sample of 281 healthy individuals aged 50 to 90 years, from Quebec (Canada) completed the CST. Statistical analyses examined the associations between CST performance and age, education, and sex. Results showed significant association between CST performance and both age and education level, but no significant association with sex. Normative data, stratified by age (50-69 vs ≥70 years) and education (≤12 vs >12 years), are presented as percentile ranks. These norms will support clinicians in the detection of social cognition deficits in middle-aged and older French-Quebec adults.
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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 | 0.000 | 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".