MétaCan
Menu
Back to cohort
Record W2729567055 · doi:10.1002/pchj.171

Reconceptualizing mental disorders: From symptoms to organs

2017· article· en· W2729567055 on OpenAlexafffund

Bibliographic record

VenuePsyCh Journal · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsMcGill University
FundersMcGill University
KeywordsFeelingIrritabilityMaterialismMental illnessMental healthPsychologyPsychiatryClassification of mental disordersPsychotherapistCognitionSocial psychologyEpistemology

Abstract

fetched live from OpenAlex

Most mental pathologies are diagnosed on the sole basis of the symptoms reported by patients, such as "I'm feeling low." The thrust of this paper is the proposal to reconceptualize mental disorders as dysfunctions of brain subsystems. This shift from symptom to organ would bring psychiatry in line with the rest of medicine, and is analogous to the change in status of venereal infections from skin pathologies, such as chancres, to bacterial infections. The proposal in question is part of the reconceptualization of mental processes as brain processes, in line with the materialist conception of the mind as neural. A practical advantage of this conceptual change is that it suggests approaching mental disorders as brain dysfunctions treatable by biological and chemical means, in addition to social measures, such as accommodating mental patients in ordinary hospitals rather than in isolated "madhouses" at the mercy of amateurs or even charlatans. An additional advantage of the "embodiment" of mental diseases is that it suggests reframing some new research projects, such as explaining why the common cold causes mental fogginess, why hypertension can cause irritability, and why nicotine dependence can be even stronger than cocaine addiction. In other words, the present proposal is to complete the so-called "mapping of the mind onto the brain" by including the abnormal mental processes, which used to be treated by shamans at a time when the mind was conceived of as an immaterial entity detachable from the body.

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)0.007
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0040.063
Scholarly communication0.0120.020
Open science0.0020.011
Research integrity0.0050.010
Insufficient payload (model declined to judge)0.0020.001

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 head0.050
GPT teacher head0.320
Teacher spread0.271 · 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 designTheoretical or conceptual
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

Citations0
Published2017
Admission routes2
Has abstractyes

Explore more

Same venuePsyCh JournalSame topicMental Health and PsychiatryFrench-language works237,207