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Record W4406160843 · doi:10.55016/ojs/ajer.v56i4.55424

Perceptions of Classroom Working Alliance and Student Performance

2011· article· en· W4406160843 on OpenAlexaffvenue
Jessica R. Toste, Nancy L. Heath, Lynn Dallaire

Bibliographic record

VenueAlberta Journal of Educational Research · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsAlliancePerceptionPsychologyMathematics educationPedagogyPolitical science

Abstract

fetched live from OpenAlex

Positive teacher-student relationship has been established as an important contributor to students' social, behavioral, and academic adjustment. Nevertheless, current research has not employed relationship measures that examine both teachers' and students' perceptions. Furthermore, the measures currently being used lack breadth in the definition of the teacher-student relationship. Using the construct of "working alliance" from counseling psychology, this study investigated teachers' (n=14) and elementary school students' (n=53) perceptions of their working alliance and explored how this construct relates to student performance. Teachers' and students' ratings on subscales of the Classroom Working Alliance Inventory (CWAI) were found to be significantly related to one another. In addition, regression analyses demonstrated that both teachers' and students' ratings of working alliance contributed significantly to ratings on the Student Performance Questionnaire (SPQ).

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)0.013
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 score0.003
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
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 head0.411
GPT teacher head0.504
Teacher spread0.094 · 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

Citations5
Published2011
Admission routes2
Has abstractyes

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