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Record W1904129354 · doi:10.3280/ses2012-su2004en

Between smart drugs and antidepressants: A cultural analysis of pharmaceutical drug use among university students

2013· article· en· W1904129354 on OpenAlexaboutno aff
Johanne Collin, Julien Simard, Hugo Collin-Desrosiers

Bibliographic record

VenueSALUTE E SOCIETÀ · 2013
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsRecreationMedical prescriptionAnxietyPsychologyPopulationConsumption (sociology)MedicineMedical educationGerontologyClinical psychologyPsychiatrySociologyPharmacologySocial scienceEnvironmental healthPolitical science

Abstract

fetched live from OpenAlex

In recent years, there has been a growing concern for the non-medical use of prescription drugs by young adults, and particularly college and university students. These expanding practices of pharmaceutical drug use have been associated with different phenomena such as physical and cognitive enhancement, non-medical prescription drug use and recreational use. All of these various consuming practices involve a blurring of the boundaries between curing, preventing and enhancing and between recreational and productive activities. Some studies show the importance of linking pharmaceutical drug use with broader issues among students in academic settings, such as competitiveness, pressure, stress, depression and mental health issues. The main objective of this article is to explore some of the perceptions and rationales that underlie the use of non-medical and medical prescription drugs, natural products, energy drinks and other pharmaceutical or natural substances among university students in Montreal (Canada). Focus-groups and indepth, semi-structured interviews were realized with a sample of 42 students in order to link the consumption cultures of the participants with other variables, such as their lifestyle, their experience of psychological distress and anxiety and their need of achievement. Focusing on the young population fulfills the function of sociological forecast about the future trends in the expansion of pharmaceutical drug use for the management of everyday life in contemporary Western societies.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.069
GPT teacher head0.415
Teacher spread0.346 · 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 designObservational
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

Citations6
Published2013
Admission routes1
Has abstractyes

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