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Record W2129455302 · doi:10.1177/136346150003700302

Will, Desire and Experience: Etiology and Ideology in the German and Austrian Medical Discourse on War Neuroses, 1914–1922

2000· article· en· W2129455302 on OpenAlexfundno aff
Jos... Brunner

Bibliographic record

VenueTranscultural Psychiatry · 2000
Typearticle
Languageen
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsnot available
FundersAssociated Medical ServicesMcGill University
KeywordsIdeologyNationalismGermanWorld War IISpanish Civil WarEtiologyPsychoanalysisLawSociologyMedicinePolitical sciencePsychologyCriminologyPsychiatryHistoryPolitics

Abstract

fetched live from OpenAlex

During World War I, German and Austro-Hungarian army doctors maintained that even the most dreadful experiences in the trenches could not, by themselves, generate the neurotic symptoms from which so many soldiers suffered. At first, it was argued that intrusive sound waves, not experience, were the crucial pathogenic agents. Psychogenic etiologies of trauma then became preponderant, but it was claimed that the symptoms stemming from experiences were transient and easily curable. Treatmentresistant symptoms were declared to be the result of the soldiers’ lack of will to fight and attributed to the influence of countervailing unconscious ideas and desires. The main aim of such etiologies was to stigmatize neurotic soldiers as cowards and weaklings, prevent them from leaving military service and block the payment of compensation for the work disability generated by the symptoms. In addition, these etiologies also legitimized the use of therapeutic violence against soldiers. After the war, some neuropsychiatrists continued to discuss the war neuroses within a radically nationalist outlook. Sigmund Freud took a different stance and criticized the nationalist commitment of army doctors. His post-war work sparked a new etiological discourse on war neuroses, which portrayed traumatized soldiers as victims of the war.

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)0.005
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.993
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0070.053
Scholarly communication0.0060.005
Open science0.0000.005
Research integrity0.0040.005
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 head0.024
GPT teacher head0.369
Teacher spread0.345 · 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 designQualitative
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

Citations23
Published2000
Admission routes1
Has abstractyes

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