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Record W4411618325 · doi:10.51847/amjdrrj9jo

10.51847/AMJdRrJ9Jo

2000· article· en· W4411618325 on OpenAlexvenueno aff

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyPsychologyClinical psychologyDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

Early maladaptive design can increase anxiety in teenagers.The aim of this study is to determine the Communication study between early maladaptive design and anxiety in both male and female guidance Students in the Bojnord city.The design of this research is descriptive-correlational and the study sample includes all male and female guidance students from district 5 of Bojnord city enrolled in the academic year of 2012-13.Data collection tools include 4 measures of Demographic Questionnaire, The short version of Young schemas questionnaire (YSO-SF) and Zung Self-Rating Anxiety Scale (SAS).Pearson correlation and multiple regression analysis of data (P<.001)show that a significant positive Communication study exists between the early maladaptive design and general anxiety in guidance students.Furthermore, this research has determined that, there is a relation between early maladaptive design and physical signs of anxiety in male and female students of high schools.Moreover, according to the results of this study,There is a significant relation between the early maladaptive design and mental signs of anxiety.As a result, decreasing early maladaptive design in students helps reducing their anxiety as well.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.163
Threshold uncertainty score0.232

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.8370.738

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 head0.013
GPT teacher head0.302
Teacher spread0.289 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2000
Admission routes1
Has abstractyes

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