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Record W4399778597 · doi:10.1111/bjdp.12504

Student–teacher relationships and sense of academic futility: Longitudinal associations among early adolescents of immigrant and non‐immigrant background

2024· article· en· W4399778597 on OpenAlexaff
Beatrice Bobba, Takuya Yanagida, Maria Wiertsema, Diana Miconi, Adebunmi Oyekola, Ifunanya Chukwueke, Sevgi Bayram Özdemir

Bibliographic record

VenueBritish Journal of Developmental Psychology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsUniversité de Montréal
FundersVetenskapsrådet
KeywordsMediationModerationImmigrationPsychologyFeelingMulticulturalismSense of controlMultilevel modelDevelopmental psychologyAcademic achievementSocial psychologyPedagogySociology

Abstract

fetched live from OpenAlex

Abstract Sense of academic futility entails feelings of having no control over ones' educational success. Although mounting evidence points to its negative consequences for students' educational outcomes, less is known about its socio‐contextual antecedents. Relatedly, the current study explored how fair and supportive relationships with teachers are related to the sense of academic futility and if class belonging mediates this link in a sample of adolescents with immigrant and non‐immigrant backgrounds. A total of 1065 seventh‐grade students ( M age = 13.12; SD = 0.42; 45% girls) from 55 classrooms completed questionnaires at two time points 1 year apart. Results of multilevel analyses indicated that fair and supportive relationships with teachers contributed to decreases in sense of academic futility at the individual but not at the classroom level. No mediation or moderation effects emerged. These findings highlight the crucial role of democratic student–teacher relationships in supporting the positive school adjustment of all students in increasingly multicultural societies.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.081
GPT teacher head0.384
Teacher spread0.304 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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