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Record W1992238400 · doi:10.5539/ass.v10n21p128

The Psychological Capital Accumulation of Middle School Students in Quake-Stricken Wenchuan

2014· article· en· W1992238400 on OpenAlexvenueno aff
Jian Li, Huang Lihui

Bibliographic record

VenueAsian Social Science · 2014
Typearticle
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsnot available
FundersSichuan Normal UniversityNational Office for Philosophy and Social SciencesMinistry of Education, India
KeywordsPsychologyCapital (architecture)Positive psychological capitalSocial capitalQuake (natural phenomenon)Scale (ratio)Social psychologyClinical psychologySociologySocial science

Abstract

fetched live from OpenAlex

The Wenchuan earthquake has brought huge trauma to people there. Up to now, the post-traumatic stressdisorder (PTSD) of the middle school students in Wenchuan is still quite apparent. Psychological capital theoryis a new theory based on Positive Psychology and Positive Organizational Behavior. Psychological capital, apositive psychological state, is a potential to overcome obstacles. The present study aimed at examining theimpact of psychological capital accumulation on alleviating PTSD. A total of 737 middle school students fromsix schools in quake –stricken region were interviewed with the Psychological capital scale for Post disastermiddle school student (PCS) and Post traumatic stress disorder self-rating scale?PTSD-SS?. The results showedthat the accumulation of psychological capital have positive correlation with alleviate stress disorder. The resultsimplied that people with rich psychological capital can better deal with trauma, the cultivation of resilienceshould be emphasized in education.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.021
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.054
GPT teacher head0.403
Teacher spread0.350 · 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.

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

Citations2
Published2014
Admission routes1
Has abstractyes

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