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Record W2791258202 · doi:10.5539/jel.v7n3p87

Socially Embedded Academic Emotions in School

2018· article· en· W2791258202 on OpenAlexvenueno aff
Henrika Anttila, Kirsi Pyhältö, Janne Pietarinen, Tiina Soini

Bibliographic record

VenueJournal of Education and Learning · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsnot available
FundersJenny ja Antti Wihurin Rahasto
KeywordsSituatedEmbeddednessPsychologyAcademic achievementMathematics educationSituated learningQualitative researchPedagogySocial psychologySociology

Abstract

fetched live from OpenAlex

School is a central arena for a wide amount of emotions. Previous research on academic emotions has, however, mainly focused on achievement, engagement and teaching, situated in classroom. The social embeddedness, as well as different learning environments of school, continue to be neglected in the research literature. Our study focuses on examining socially embedded academic emotions in school, including emotions described in peer interactions and in teacher-pupil interactions. Furthermore, the aim of the study was to investigate socially embedded academic emotions situated in both informal and formal learning environments. In the study, we combine both qualitative and quantitative methods by using picture tasks and questionnaires. In total, 146 sixth and eighth graders participated in the study. The results of our study showed that the interaction between teachers and peers is a central arena for pupils’ described socially embedded academic emotions in school. Furthermore, our study emphasizes the role of an informal learning environment as an important setting for socially embedded academic emotions. Practical and theoretical implications of these findings are discussed.

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 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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.374
Threshold uncertainty score0.701

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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)0.0010.000

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 head0.023
GPT teacher head0.372
Teacher spread0.350 · 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 teacher head, 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

Citations10
Published2018
Admission routes1
Has abstractyes

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