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Record W2785387665

A questionnaire study investigating future pharmacists’ use of, and views on cognitive enhancers

2018· article· en· W2785387665 on OpenAlexfundno aff
Lezley‐Anne Hanna, Judith Rainey, Maurice Hall

Bibliographic record

VenueResearch Portal (Queen's University Belfast) · 2018
Typearticle
Languageen
FieldNeuroscience
TopicNeuroethics, Human Enhancement, Biomedical Innovations
Canadian institutionsnot available
FundersQueen's UniversityQueen's University Belfast
KeywordsPharmacyMedical prescriptionCognitionPsychologyFamily medicineMedical educationSet (abstract data type)MedicinePharmacologyPsychiatryComputer science
DOInot available

Abstract

fetched live from OpenAlex

Introduction: This work aimed to ascertain future pharmacists’ use of, and attitudes towards cognitive enhancers (CEs). Methods: Following ethical approval, all first and final year pharmacy students at Queen's University Belfast (QUB) were invited to complete a pre-piloted, non-identifiable, paper-based questionnaire during a compulsory class. Descriptive statistics were undertaken; non-parametric tests were used for comparisons with significance set at p<0.05 a priori. Results: The response rates were 89.3% (Level 1) and 89.0% (Level 4) with 48.0% of respondents reporting they were CE users (largely caffeine). Additionally, 42.4% thought using pharmaceutical CEs for improving academic grades breached their Code of Conduct. Level 4 students were more likely to associate over-the-counter (OTC) and prescription-only medicines (POM) CEs with side effects than Level 1 [OTC statement p=0.001 and POM statement p=0.016]. Discussion: CE use among future pharmacists seems quite high; Level 1 students appear more naïve about safety concerns. Educational workshops could further explore ethical issues.

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.

How this classification was reachedexpand

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.222
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.165
GPT teacher head0.405
Teacher spread0.240 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2018
Admission routes1
Has abstractyes

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