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Record W2341196458 · doi:10.1080/00380237.2016.1107713

ADHD, Socioeconomic Status, Medication Use, and Academic Ethic

2016· article· en· W2341196458 on OpenAlexfundno aff
Zachary Simoni, Patricia Drentea

Bibliographic record

VenueSociological Focus · 2016
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsnot available
FundersCentre for Addiction and Mental Health
KeywordsSocioeconomic statusOddsOdds ratioIdeal (ethics)PsychologyAttention deficit hyperactivity disorderSocial classInequalityClass (philosophy)PsychiatryDemographyDevelopmental psychologyMedicineLogistic regressionSociologyPolitical sciencePopulation

Abstract

fetched live from OpenAlex

This study examines the relationship between socioeconomic status and the likelihood of receiving medication for Attention Deficit Hyperactivity Disorder (ADHD) and then addresses the embodiment of the “ideal student,” using the National Survey of Child’s Health. We find that the construction of the ideal student and parents’ higher income is correlated with higher odds of medication use for children and adolescents with ADHD. Furthermore, our results imply that structural inequalities in the current healthcare system increase the odds of upper-class children and adolescents receiving medication for ADHD. We find evidence that both severity of ADHD and younger ages increase the odds of receiving medication. We conclude with a discussion of the academic ethic, upper-class life, and future suggestions for research.

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)0.001
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 score0.073
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.120
GPT teacher head0.376
Teacher spread0.257 · 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

Citations21
Published2016
Admission routes1
Has abstractyes

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