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Record W2953614374 · doi:10.1080/08824096.2019.1634534

Instructional dissent as an expression of students’ class-related achievement emotions

2019· article· en· W2953614374 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

VenueCommunication Research Reports · 2019
Typearticle
Languageen
FieldPsychology
TopicCommunication in Education and Healthcare
Canadian institutionsSt. Stephen's University
Fundersnot available
KeywordsDissentPsychologyAngerBoredomShameFeelingPrideSocial psychologyAnxietyClass (philosophy)

Abstract

fetched live from OpenAlex

This study examined how college students’ class-related achievement emotions are related to their tendencies to dissent about a college course. Student participants (N = 383) completed a survey about their worst course of the semester by reporting on their class-related achievement emotions and how they dissented about their class. Results from ordinary least squares regression analyses revealed that achievement emotions were uniquely associated with instructional dissent: (a) hope, pride, anger, and anxiety predicted expressive dissent scores, (b) anger, hopelessness, and boredom predicted rhetorical dissent scores, (c) and enjoyment, anger, anxiety, shame, and hopelessness predicted vengeful dissent scores. This study provides initial evidence suggesting that students’ feelings about a class are tied to their types of complaining.

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)0.004
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.383
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.130
GPT teacher head0.538
Teacher spread0.408 · 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