Why Parents Misuse Prescription Drugs to Enhance the Cognitive Performance of Healthy Children: The Influence of Peers and Social Media
Bibliographic record
Abstract
The mechanisms affecting parents’ misuse of prescription stimulant drugs to boost healthy children’s school performance are hardly unknown. Using four web-based factorial vignette surveys (2×2 between-subjects design experiment), we investigated the willingness of U.S. parents with school-aged children to medicate a fictitious 13-year-old child whose grades had declined. We examined mechanisms of informational and normative social influence on their decision-making: others’ behavior ( N Experiment 1 = 359), others’ definitions ( N Experiment 2 = 326), social control ( N Experiment 3 = 325), and others’ experience ( N Experiment 4 = 313). In addition, we explored the moderating role of influential sources (close friends vs. social media). Parents were more willing to engage in said behavior when others reported engagement in this behavior or positive drug experiences, especially if both influences were transmitted via social media. Others’ definitions and social control had no effect. Thus, social media might be a channel for the prevention of pharmacological cognitive enhancement.
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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 | 0.006 |
| 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 | 0.001 | 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".