Normative data for the Pyramids and Palm Trees Test in the Quebec–French population
Bibliographic record
Abstract
Semantic memory tests assess long-term memory for facts, objects, and concepts as well as words and their meaning. Since it holds culturally shared information, the development of normative data adjusted to the cultural and linguistic reality of the target population is of particular importance. The present study aimed to establish normative data for the Pyramids and Palm Trees Test, a commonly used test of semantic memory, in the French-Quebec population. The normative sample consisted of 214 healthy French-speaking adults and elderly persons from various regions of the province of Quebec. The effects of participants ’ age, gender, and education level on test perform-ance were assessed. Results indicated that participants ’ level of education and age, but not sex, were found to be significantly associated with performance on this test. Normative data are presented as means and standard deviations. Overall, the present norms are consistent with those of previous studies with Spanish samples.
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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 | 0.001 |
| 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 | 0.001 |
| 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".