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Record W3135336129 · doi:10.1177/0022042621994547

Why Parents Misuse Prescription Drugs to Enhance the Cognitive Performance of Healthy Children: The Influence of Peers and Social Media

2021· article· en· W3135336129 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Drug Issues · 2021
Typearticle
Languageen
FieldNeuroscience
TopicNeuroethics, Human Enhancement, Biomedical Innovations
Canadian institutionsMontreal Clinical Research Institute
FundersJohn Templeton Foundation
KeywordsPsychologyCognitionNormativeVignetteDevelopmental psychologySocial cognitive theoryStimulantSocial mediaSocial psychologyClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score0.302

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.033
GPT teacher head0.345
Teacher spread0.313 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it