MétaCan
Menu
Back to cohort
Record W4313275689 · doi:10.5539/jel.v12n1p61

The Development of Youth Network for Strengthening Social Adaptation of Thai Vulnerable Juveniles

2022· article· en· W4313275689 on OpenAlexvenueno aff
Prachan Chachikul, Sombat Taweekoon, Chakkree Sricharumedhiyan, Chuleeporn Nahuanin, Phattharachai Uthaphan, Radchaneeboon Neadpuckdee, Prasong Promsri

Bibliographic record

VenueJournal of Education and Learning · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsnot available
FundersThailand Science Research and Innovation
KeywordsPsychologySocial network (sociolinguistics)Test (biology)Adaptation (eye)Developmental psychologySocial mediaPolitical science

Abstract

fetched live from OpenAlex

The purposes of the study were 1) to examine the effects of a youth network on vulnerable youths’ social adaptation knowledge, 2) to examine the vulnerable youths’ satisfaction with the youth network on social adaptation development, and 3) to examine the effects of a youth network on vulnerable youths’ changes in behaviors of social adaptation. The participants consisted of 302 vulnerable youths in the northern Thai province of Khon Kaen selected by a systematic sampling method. A group of 10 authorities was also chosen purposively to join the interview session. The instruments included a youth network plan, a social adaptation test, and an interview form. Frequency, percentage, mean score, S.D, and t-test were used to examine the data. The content analysis assessed qualitative data. The findings study reveals how a planned youth network resulted in the acquisition of knowledge, attitudes, and desirable behavior among youngsters at risk.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.004
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.045
GPT teacher head0.322
Teacher spread0.277 · 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 designNot applicable
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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Education and LearningSame topicYouth Development and Social SupportFrench-language works237,207