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Record W2610651657 · doi:10.1002/sce.21277

Temporality of Emotion: Antecedent and Successive Variants of Frustration When Learning Chemistry

2017· article· en· W2610651657 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

VenueScience Education · 2017
Typearticle
Languageen
FieldPsychology
TopicAcademic and Historical Perspectives in Psychology
Canadian institutionsVictoria Park
FundersAustralian Research Council
KeywordsTemporalityFrustrationPsychologyScience educationMathematics educationChemistryDevelopmental psychologyEpistemologySocial psychology

Abstract

fetched live from OpenAlex

ABSTRACT Learning science in the middle years can be an emotional experience. In this study, we explored ninth‐grade students’ discrete emotions expressed during science activities in a 9‐week unit on chemistry. Individual student's emotions were analyzed through multiple data sources including classroom videos, interviews, and emotions diaries completed at the end of each lesson. Results from three representative students are presented as cases within a case study. Using a theoretical perspective drawn from theories of emotions founded in sociology, three assertions emerged. First, students experienced frustration when learning new chemistry concepts. Second, frustration was resolved through student–student and teacher–student interactions. Third, frustration was transformed when students were afforded time to revisit new concepts. Furthermore, the teacher's identification of students’ emotions enabled differentiation of learning through individualized interactions. Finally, we explain how the temporality of emotions emerged as an important phenomenon and suggest an elaboration to Turner's theorization of emotions.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.476
Threshold uncertainty score0.438

Codex and Gemma teacher scores by category

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

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 head0.031
GPT teacher head0.403
Teacher spread0.372 · 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