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Record W2049855622 · doi:10.1177/1363461513490720

Consuming an edge: ADHD, stimulant use, and psy culture at the corporate university

2013· article· en· W2049855622 on OpenAlexaffabout
Jack Levinson, Kelly McKinney

Bibliographic record

VenueTranscultural Psychiatry · 2013
Typearticle
Languageen
FieldNeuroscience
TopicNeuroethics, Human Enhancement, Biomedical Innovations
Canadian institutionsJohn Abbott College
Fundersnot available
KeywordsMental healthMedical prescriptionPsychologyEveryday lifeDistressSociologyPsychiatryMedical educationMedicineClinical psychologyNursingPolitical science

Abstract

fetched live from OpenAlex

We examine "psy" on the college campus. Psy refers to ways of knowing and acting on ourselves that shape everyday life psychologically. We suggest that there is an "elective affinity" between psy and the neoliberal management strategies that now dominate the "corporate university." We describe ways that psy organizes college life by drawing on the history of college health services; interviews about mental health and services at a university in Canada; and historical, social, and media accounts of student mental health and pharmaceutical drug use-both prescribed and not-on campus in the US and Canada. By the 1990s, for the first time, many students were arriving at college as already experienced consumers of psy with diagnoses and prescriptions. We approach this and the increased use of medication as an aspect of the psy-campus. We focus on stimulants, using ADHD to illustrate the blurring line between treatment and enhancement. Students who use stimulants-with or without prescription-do so in the same way: instrumentally in relation to academic demands. The blurred line between academic stress and psychiatric distress is further illustrated by "clinic notes," an institutionalized practice that enables all students to act on academic pressure as a matter of mental health. We describe the links between psy and institutional branding and marketing to illustrate the role of mental health and wellness services in the corporate university.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.725
Threshold uncertainty score0.627

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 studies0.0010.001
Scholarly communication0.0000.001
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 head0.129
GPT teacher head0.295
Teacher spread0.166 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations13
Published2013
Admission routes2
Has abstractyes

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