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Record W2936061719 · doi:10.1080/00220973.2019.1578724

Teacher-Student Interactions and Teacher Interpersonal Styles: A State Space Grid Analysis

2019· article· en· W2936061719 on OpenAlex

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

VenueThe Journal of Experimental Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Environments and Student Outcomes
Canadian institutionsQueen's University
FundersNederlandse Organisatie voor Wetenschappelijk Onderzoek
KeywordsInterpersonal communicationPsychologyInterpersonal relationshipMoment (physics)Style (visual arts)Space (punctuation)Social psychologyPerceptionMathematics educationComputer sciencePhysics

Abstract

fetched live from OpenAlex

The crucial role of teacher-student relationships has been reported in many studies. Yet, how teacher-student relationships develop from moment-to-moment interactions during lessons remains understudied. The present study combined insights from interpersonal theory and dynamic systems approaches to study indices of interpersonal content and structure in teacher-student interactions and their association with the teacher’s interpersonal style. We found that moment-to-moment teacher behavior was indeed related to student perceptions of the teacher’s interpersonal style. Indices of variability (structure) in interactions discriminated between teachers with less preferred and more preferred interpersonal styles, while, contrary to earlier research, the indicator of predictableness of interactions could not. Results are discussed considering the expectations, and suggestions made for future research and practice.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.376
Teacher spread0.364 · 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