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Record W3188766348 · doi:10.5539/jel.v10n5p1

Twins Are Always Serving Science, What About Their Own Needs? Twins’ Need for Social Anxiety Program

2021· article· en· W3188766348 on OpenAlexvenueno aff
Şule BAŞTEMUR, Ayşe Esra Aslan

Bibliographic record

VenueJournal of Education and Learning · 2021
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsnot available
Fundersnot available
KeywordsConcordanceWilcoxon signed-rank testPsychologyIntraclass correlationQualitative researchMultimethodologyDevelopmental psychologyFocus groupSocial anxietyTest (biology)AnxietyMonozygotic twinClinical psychologySocial psychologyMathematics educationPedagogyPsychometricsMedicineSocial sciencePsychiatrySociology

Abstract

fetched live from OpenAlex

Objective: The effectiveness of the Social Anxiety Program on Adolescent Twins investigated in this study. Method: The study is a mixed-method study using a one-group pretest-posttest design, together with the qualitative method. First, Intraclass Correlation Coefficient used to find out the concordance and differentiation level of the twins’ social anxiety. Because monozygotic twins’ concordance rate is higher than dizygotic twins, four pair female monozygotic twins aged 17-18 participated in the group. Wilcoxon Single Ranks Test used to analyze the experimental part of the research. Three sessions of focus groups held after the program. Content analysis techniques used as a qualitative analysis. Result: As a result, there was a statistically significant difference between pre/post-program. Since this difference was in favor of initial measurement, the program interpreted as being effective. Themes also supported the quantitative results. Conclusion: Findings obtained from both experimental and qualitative parts discussed. Suggestions provided for future researcher.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.030
GPT teacher head0.336
Teacher spread0.305 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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