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Record W4411656865 · doi:10.51847/cyqmr8nwyo

10.51847/cyqMR8NwYO

2000· article· en· W4411656865 on OpenAlexvenueno aff

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyClinical psychologyDepression (economics)PsychologyStress (linguistics)Psychiatry

Abstract

fetched live from OpenAlex

The aim of this study was to investigate the validity and reliability of depression, anxiety and stress-21 among high school students was.For this purpose, in an 1150 study of high school students to investigate the validity of the scale and in another study of 128 high school students participated for reliability.To evaluate the scale of the two concurrent validity and factor analysis were used.Through the concurrent validity of the scale coincides with the Beck Depression Inventory and Beck Anxiety Inventory was carried out 0.55 and 0.58 respectively correlation coefficient n was obtained.To study the reliability and validity scale two polls again to 0.69 and 0.88 reliability coefficients were obtained.As a result of factor analysis using varimax rotation based on screen test showed presence of depression, anxiety and stress on this scale, generally more than 42% of the total variance explained was the test.So, based on these results, Form 21-item scale depression, anxiety and stress eligible for use in psychological research and clinical activities for high school students was recognized.

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)0.002
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 score0.041
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.9590.961

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 head0.014
GPT teacher head0.274
Teacher spread0.260 · 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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