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Record W1970589167 · doi:10.1016/s0924-9338(14)77885-x

EPA-0477 – Classifying illnesses: time to bring back stage theory?

2014· article· en· W1970589167 on OpenAlexaff
Edward Shorter

Bibliographic record

VenueEuropean Psychiatry · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicChemistry and Chemical Engineering
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsStage (stratigraphy)PsychologyGeologyPaleontology

Abstract

fetched live from OpenAlex

The classification of psychiatric illnesses was essentially based on stage theory, the idea that a given illness progressed from stage to stage. This was in contrast to the Kraepelinian scheme of classifying illnesses – with the exception of manic-depressive illness – on the basis of current phenomenology. According to the previous stage theories such as Zeller, Magnan and Griesinger, a major illness would typically begin with a mood picture (mania or melancholia), transition into psychosis (Verrücktheit, délire), then transition again in dementia. This illness course tended to be life-long, the order of the stages invariant (rarely was psychosis seen as the primary disorder, or did dementia yield to yet another stage). These concepts would be innovative in terms of the DSM system, which recognizes stage theory only in bipolar disorder. To clarify the nature of linear illness pictures (‘stage theory’) in a psychiatric presentation. To revive a traditional psychiatric concept of the linear illness entity (‘stage theory’) in the interest of improved diagnosis and treatment An analysis of the large past psychiatric literature in French, German, Italian, and English The illness courses of many past patients do seem to have unfolded in stages. Stage theory stemmed from senior clinicians of vast experience, whose ideas were are not entitled patronizingly to dismiss. The DSM system is now under assault and it may be time to reassess the usefulness of stage theory.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.916
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0220.059

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 head0.003
GPT teacher head0.177
Teacher spread0.174 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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