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Record W4361276287 · doi:10.1177/10892680231166681

Paradox of Revolution: A Communist Patient’s Management of Neurasthenia on a Spiritual Journey

2023· article· en· W4361276287 on OpenAlexfundno aff
Wang Dong-mei, Zhipeng Gao

Bibliographic record

VenueReview of General Psychology · 2023
Typearticle
Languageen
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsNeurastheniaCommunismIdeologyChinaPsychologyNormativeConsciousnessPsychotherapistPsychoanalysisSociologyAestheticsPsychiatryLawPoliticsPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

This article examines the complex, sometimes conflicting, influences of China’s Communist movement on psychotherapy and mental illness. The study is centered around the diary of a Chinese woman who simultaneously received therapeutic treatment of neurasthenia while remolding her consciousness as part of the “thought reform” campaign at the Shanghai Police School. Additionally, the study situates this diary within the broader history of psychotherapy in Communist China with highlight on the eventful life of Jiayin Huang, China’s leading psychotherapist who helped the neurasthenic patient before being forced out of the therapeutic profession. This contextualized case study produces several findings. It is found that psychotherapy and thought reform converged in several aspects, including their diagnostic and interventional functions. Meanwhile, psychotherapy and thought reform also faced irreconcilable theoretical and normative discrepancies that eventually led to the decline of psychotherapy. Finally, it is argued that China’s Communist movement exerted seemingly paradoxical impact on the neurasthenic patient. On the one hand, it pathologized the patient’s psychology on an ideological ground; on the other, it promised the possibility of spiritual salvation through dedication to the revolutionary cause.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.457
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.075
GPT teacher head0.423
Teacher spread0.348 · 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.

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
Published2023
Admission routes1
Has abstractyes

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