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Record W2199027905 · doi:10.1097/nmd.0000000000000435

The National Institute of Mental Health Research Domain Criteria

2015· review· en· W2199027905 on OpenAlexaff
Joel Paris, Laurence J. Kirmayer

Bibliographic record

VenueThe Journal of Nervous and Mental Disease · 2015
Typereview
Languageen
FieldPsychology
TopicMental Health Research Topics
Canadian institutionsMcGill University
Fundersnot available
KeywordsResearch Domain CriteriaPsychopathologyPsychosocialMental healthPsychologyPremisePhenomenology (philosophy)Classification of mental disordersCognitionPerspective (graphical)Domain (mathematical analysis)PsychiatryNosologyClinical psychologyPsychotherapistCognitive psychologyEpistemologyPrevalence of mental disordersComputer science

Abstract

fetched live from OpenAlex

The National Institute of Mental Health is actively promoting Research Domain Criteria as a new model for the research on mental disorders. Research Domain Criteria approaches disorders through a matrix, linking units of analysis with domains, based on the assumption that psychopathology reflects abnormal connectivity in the brain. This review suggests that the Research Domain Criteria perspective is likely to fail to provide an adequate basis for clinical psychiatric theory and practice. First, it uses models from neuroscience that are insufficiently developed. Second, it is based on the premise that mental phenomena and mental disorders can be reduced to neural activity, without consideration of cognition, experience, and social interaction. Third, it downplays psychosocial factors in psychopathology and treatment. Research Domain Criteria may therefore prove inadequate for providing a neuroscientific basis for psychiatric nosology and treatment and needs to be supplemented with a broader view that incorporates insights from social sciences, psychology, and phenomenology.

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)0.011
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.759
Threshold uncertainty score0.546

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.432
GPT teacher head0.602
Teacher spread0.170 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations43
Published2015
Admission routes1
Has abstractyes

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