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Record W2195954374

The Relationship Between Class Environment and Psychological Suzhi of Minority Middle School Students in Yunnan

2015· article· en· W2195954374 on OpenAlexvenueno aff
Zesong Dong, Dajun Zhang

Bibliographic record

VenueCross-cultural communication · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Methods and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyCompetition (biology)AdaptabilityMiddle classClass (philosophy)Mathematics educationDevelopmental psychologySocial psychologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

In this study, 1307 minority middle school students in Yunnan are surveyed. This study uses survey questionnaires to observe the relationship between classroom environment and psychological suzhi of minority middle school students. The results show that: (a) the psychological suzhi of the Bai middle school students in terms of cognitive qualities, adaptability and psychological suzhi overall score is significantly better than the Yi and Hui students; (b) there is a significant positive correlation between the factors of teacher-student relationship, order and discipline, competition, the relationship between students in the class environment and minority students’ psychological suzhi; there is a significant negative correlation between the factors of the burden of learning in the class environment and the psychological suzhi of minority middle school students; (c) the factors of the teacher-student relationship, competition and the relationship between students in class environment have a significant positive prediction function on the psychological suzhi of minority middle school students.

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 score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.382
GPT teacher head0.538
Teacher spread0.156 · 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
Published2015
Admission routes1
Has abstractyes

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