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Record W4292707963 · doi:10.3389/fpsyg.2022.872301

Longitudinal impact of parent-teacher relationship on middle school students’ academic achievements in China

2022· article· en· W4292707963 on OpenAlex
Wangqian Fu, Qianqian Pan, Ying Yuan, Guanyu Chen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFrontiers in Psychology · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologyChinaContext (archaeology)Longitudinal studyMultilevel modelLongitudinal dataPerceptionMathematics educationAssociation (psychology)Developmental psychologyMedical educationSociologyPolitical scienceMedicineDemography

Abstract

fetched live from OpenAlex

Objective: The study aims to discuss the longitudinal impact of the parent-teacher relationship on students' academic achievements in China. Method: Based on the China Education Panel Survey, covering the data from 438 classes of 112 schools in 28 county-level administrative areas in China, we used the hierarchical linear model to analyze the data. Results: We found that the parents' active communication with teachers, parents' participation in parent meetings, teachers' active contact, whether parents are afraid to communicate with teachers, and parents' willingness to participate in parent meetings have significant relationships with students' academic achievements. At the class level, the extent of teachers' stress from parents' requests and teachers' perception of respect from parents also affected students' academic achievements significantly in the Chinese context. Conclusion: There was a longitudinal association between the parent-teacher relationship and students' academic achievements. The practical implication was discussed in the paper.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.021
Threshold uncertainty score0.891

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.117
GPT teacher head0.449
Teacher spread0.332 · 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