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Record W2378847998

The Alexithymia and Feature in the Neurosis Patients

2004· article· en· W2378847998 on OpenAlexaboutno aff
Jinyao Yi

Bibliographic record

VenueZhongguo linchuang xinlixue zazhi · 2004
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaNeurosisPsychologyToronto Alexithymia ScaleAnxietyClinical psychologyComorbidityNeuroticismPsychiatryDepression (economics)Personality
DOInot available

Abstract

fetched live from OpenAlex

Objective:To investigate the alexithymia feature in the neurosis patients. Methods: 258 patients who met the neurosis's diagnosis criteria of CCMD-III were collected into the Neurosis group.The neurosis group was composed of 73 depressive disorder patients, 54 anxiety disorder patients, 65 patients with comorbidity of depression and anxiety disorder and 66 other neurosis patients.The control group was composed of 150 healthy persons. Neurosis group and control group were administered TAS-20 (the twenty-item Toronto Alexithymia Scale). Results: The neurosis group got higher total score and subscale scores of TAS-20 than the control group. There were significant difference in alexithymia among depressive disorder, anxiety disorder and comorbidity patients. The female patients in neurosis group got higher total score and subscale scores about externally oriented cognitive style than the control group. Conclusion: The patients with neurosis have significant alexithymia and female patients were more serious than male. There were significant difference in different neurosis category , especially in the subscale about externally oriented cognitive style.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.392

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)0.0000.000

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 head0.008
GPT teacher head0.244
Teacher spread0.235 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2004
Admission routes1
Has abstractyes

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