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Record W2130237212 · doi:10.1177/1087054712445781

In Search of “Anything That Would Help”

2012· article· en· W2130237212 on OpenAlexafffund
Emily Borgelt, Daniel Z. Buchman, Margaret D. Weiss, Judy Illes

Bibliographic record

VenueJournal of Attention Disorders · 2012
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversity of British Columbia
FundersInstitute of Neurosciences, Mental Health and AddictionNational Institute of Mental HealthBritish Columbia Knowledge Development FundCanadian Institutes of Health ResearchNational Institutes of HealthUniversity of British ColumbiaCentre National d’Etudes SpatialesCanada Research ChairsBC Children's Hospital
KeywordsPsychologyCognitive psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: This qualitative study explores parents' perceptions about the future clinical translation of neurotechnologies--neuroimaging and genetic testing separately and together--for instrumentalization in the diagnosis and treatment of childhood ADHD. METHOD: We conducted in-person, semi-structured interviews with parents of minor children diagnosed with ADHD (N = 26) and analyzed 11.75 hr of data using constant comparative analysis. RESULTS: Receptivity to technology and anticipation of potential benefits overshadowed discussion of risks or concerns. Four key areas of potential impact on parent experience are (a) insight and acceptance, (b) treatment and adherence, (c) stigma and blame, and (d) the endeavor to access resources. CONCLUSION: The findings highlight high receptivity to emerging neurotechnologies for ADHD, key areas for which parents anticipate support from these technologies, and ethics challenges to clinical translation in light of parents' salient hope and minimal consideration of risk in their pursuit of "anything that would help."

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.544

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
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 head0.054
GPT teacher head0.353
Teacher spread0.299 · 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 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

Citations18
Published2012
Admission routes2
Has abstractyes

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