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Record W2100368513 · doi:10.1177/0891243202016003006

Alternative Therapies and Attention Deficit Disorder

2002· article· en· W2100368513 on OpenAlexaff
Claudia Malacrida

Bibliographic record

VenueGender & Society · 2002
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsIntervention (counseling)LegitimacyAttention deficit disorderPsychologyMedicinePsychotherapistSociologyPsychiatryPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

In response to controversies about Attention Deficit Disorder (ADD) and Ritalin, many alternative therapies have proliferated in professional and lay circles. This study examines alternative therapy discourse and asks whether these texts offer any real challenge to traditional discourses of medicalized motherhood. Indeed, alternative therapies employ most of medicine's discursive strategies, portraying mothers as inadequate and responsible for their children's problems and positioning the child as both at risk and a danger to society. Furthermore, the speculative causal factors and the lengths to which mothers are encouraged to go in alternative therapy texts place a heavier burden on women than do traditional medical texts. Thus, while the medical treatment for ADD might be challenged, alternative therapy discourse supports the legitimacy of ADD as a diagnostic category, argues that its causes are personal and gendered, and claims that professional intervention remains the proper response.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.008
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.061
GPT teacher head0.303
Teacher spread0.242 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations34
Published2002
Admission routes1
Has abstractyes

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