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Why We Still Use “Organic Causes”: Results From a Survey of Psychiatrists and Residents

2018· article· en· W2897830658 on OpenAlexafffundabout
David Benrimoh, Vincent Jetté Pomerleau, Arnaud Demoustier, Stéphane Poulin, Jean‐Robert Maltais, Judith Brouillette, Simon Ducharme

Bibliographic record

VenueJournal of Neuropsychiatry · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsUniversité de Sherbrooke
FundersCanadian Institutes of Health ResearchUniversité de Sherbrooke
KeywordsTerminologyPsychiatryContext (archaeology)NosologyMedicinePsychology

Abstract

fetched live from OpenAlex

The diagnostic category of "organic disorders" was officially removed from the psychiatric nosology in DSM-IV, published in 1994. Despite this change, physicians continue to use the term "organic causes" to refer to medical and neurological causes of psychiatric symptoms, and it remains part of the ICD-10 classification. In the context of increasing integration of psychiatric disorders within a medical and neuroscientific framework, the reasons behind the ongoing use of this term (reminiscent of mind-body dualism) have to be clarified. The authors conducted a survey of 391 Canadian psychiatrists and psychiatric residents to understand attitudes and beliefs related to this terminology and then applied qualitative and quantitative analyses. Results showed that the terminology is used by the majority (55.9%) of psychiatrists and residents for two main reasons: out of a habit that begins in residency training and because of the belief that other specialties do not fully understand alternative terminology. The authors found that some psychiatrists are concerned that their patients will not receive adequate investigation unless it is made clear through use of the "organic cause" term that other medical causes of psychiatric symptoms are suspected. Use of the "organic cause" term was predicted by being of younger age, performing emergency department calls, and finding alternative terminology difficult to use. These findings highlight the importance of reflecting on and discussing the effect of this terminology used in psychiatry.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.623
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.067
GPT teacher head0.291
Teacher spread0.223 · 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

Citations14
Published2018
Admission routes3
Has abstractyes

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