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Record W3088719245 · doi:10.1007/978-3-030-54802-5_4

Melancholia and the New Biological Psychiatry

2020· book-chapter· en· W3088719245 on OpenAlexaboutno aff
Åsa Jansson

Bibliographic record

VenueMental health in historical perspective · 2020
Typebook-chapter
Languageen
FieldNeuroscience
TopicNeurology and Historical Studies
Canadian institutionsnot available
FundersWellcome Trust
KeywordsMelancholiaNeurastheniaPsychoanalysisGermanPsychologyPsychiatryPsychotherapistQuarter (Canadian coin)Relation (database)MoodHistory

Abstract

fetched live from OpenAlex

Abstract This chapter centres on the development of a neurophysiological model of melancholia, which emerged within the new academic psychiatry in the German states at mid-century, and was taken up into British literature in the 1860s and 70s. It considers Wilhem Griesinger’s model of psychological reflex action, which he used to explain the aetiology of mental disorders. Building on Griesinger’s model, Richard von Krafft-Ebing in Germany and Henry Maudsley in Britain offered two of the period’s most comprehensive descriptions of melancholia as a modern biomedical mood disorder. Finally the new neurophysiological model of melancholia is considered in relation to neurasthenia, a fashionable diagnosis in the United States in the last quarter of the century.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.999
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.004
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.062
GPT teacher head0.300
Teacher spread0.239 · 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.

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
Published2020
Admission routes1
Has abstractyes

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