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Record W2392405425

Mental Health State and Alexithymia in Impoverished Undergraduates of Financial Colleges

2013· article· en· W2392405425 on OpenAlexaboutno aff
Che Jiang

Bibliographic record

VenueXiandai shengwu yixue jinzhan · 2013
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPsychoticismAlexithymiaPsychologyClinical psychologySymptom Checklist 90Mental healthToronto Alexithymia ScaleAnxietyHostilityDepression (economics)PersonalityPsychiatryBig Five personality traitsSomatizationExtraversion and introversionSocial psychology
DOInot available

Abstract

fetched live from OpenAlex

Objective: To investigate the Mental Health State of the impoverished undergraduates of financial colleges and to explore the relationship between psychological state and personality alexithymia thus providing basis for solving the psychological problems of impoverished undergraduates better.Methods: A sample of 298 impoverished undergraduates were tested with Symptom Checklist-90(SCL-90) and the 20-item Toronto Alexithymia Scale(TAS-20).And the result was compared with that of non-impoverished undergraduates.Results: 1.The factorial scores of depression,phobic anxiety,interpersonal sensitivity,psychoticism,paranoid ideation and the total score of SCL-90 of the impoverished undergraduates were higher than those of the control group.2.All factorial scores and the total score of SCL-90 of the alexithymia team were significantly higher than those of non-alexithymia team.3.The F1 factor and the number of undergraduates with alexithymia in the impoverished group were both higher than those of the control group.4.The factorial scores and the total score of TAS-20 were significantly related to those of SCL-90(P0.01 or P0.05).Conclusions: 1.Compared with non-impoverished undergraduates,impoverished undergraduates have more psychosomatic symptoms,mainly expressed in depression,phobic anxiety,interpersonal sensitivity,psychoticism,paranoid ideation.2.Alexithymia and Mental Health State are correlated.Those with alexithymia are more likely to have psychosomatic symptoms.3.F1(difficulty in identifying emotions) is the more sensitive factor to identify alexithymia symptoms compared with other factors.

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 score0.066
Threshold uncertainty score0.619

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 head0.009
GPT teacher head0.259
Teacher spread0.250 · 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
Published2013
Admission routes1
Has abstractyes

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