Is Intelligence Enhanced by Letter Priming? A Failure to Replicate the Results of Ciani and Sheldon (2010)
Bibliographic record
Abstract
Previous research has suggested that motivational processes outside an individual's conscious awareness may be primed so as to enhance or impair cognitive performance. The present study involved a conceptual replication of the 2010 study of Ciani and Sheldon (Experiments 1 and 2), employing the same materials and task, to test whether exposure to the letter A before an analogies test improved performance and the letter F impaired it, relative to the neutral letter J. It also examined the effect of pre-exposing participants before testing to a positive or negative verbal passage concerning letter grades. Priming was not found to have any effect: the participants (N = 116), under both pre-exposure conditions, gave analogies scores which were virtually identical whether they had been primed with A, F, or J, thus contradicting the previous results. It is concluded that there is a pressing need for more replications of priming experiments as well as other studies.
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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 | 0.002 | 0.007 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".