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Record W2380253063

Relationship between Alexithymia,Coping Styles and Passive Psychology in Nurses

2012· article· en· W2380253063 on OpenAlex
Gui Yan-ling

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueZhongguo quanke yixue · 2012
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaCoping (psychology)PsychologyClinical psychologyStructural equation modelingToronto Alexithymia ScaleStatistics
DOInot available

Abstract

fetched live from OpenAlex

Objective To explore the relationship of alexithymia to passive psychology and the mediating effect of coping styles in it.Methods Toronto Alexithymia Scale(TAS-20),Trait Coping Stule Questionnaire(TCSQ) and Genera Health Questionnaire(GHQ-20) were used to perform a questionnaire in 503 nurses.Results(1)Alexithymia and passive coping styles were positively correlated with passive psychology(P0.01),active coping styles negatively with passive psychology(P0.01).(2) The model fit indices of coping styles as mediating variables in alexithymia and passive psychology wereχ2/df=1.459,RMSEA=0.030,CFI=0.995,IFI=0.995,RFI=0.966,TCI=0.989,NEI=0.985,respectively.The models fitted well.Alexithymia and coping styles explained 99% of total variance of passive psychology,mediating effect accounting for 94.59% of total effect.Conclusion Alexithymia and Coping Style are important factors influencing negative psychology of nurses.Coping style plays an important mediating role in influence of alexithymia on passive psychology.

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.

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 score0.015
Threshold uncertainty score0.594

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 head0.064
GPT teacher head0.370
Teacher spread0.306 · 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