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Record W4381548513 · doi:10.22329/jtl.v17i1.7172

Teachers Learning Classroom Sociology and Social Justice in Primary Education

2023· article· en· W4381548513 on OpenAlexvenueno aff
Büşra Tombak İlhan, Bülent Alcı, Dilek Güven-Hastürk

Bibliographic record

VenueJournal of Teaching and Learning · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsSociology of EducationContext (archaeology)PedagogyClass (philosophy)EthnographyParticipant observationSociologyService-learningIdentity (music)Mathematics educationPsychologySocial science

Abstract

fetched live from OpenAlex

Classroom sociology is a powerful discipline that helps students develop a sense of identity, achieve success, and experience well-being while building a strong community in the classroom. Teachers who can see beneath the surface and are aware of classroom sociology create a better and more just learning environment for learners, especially in primary education. This study focuses on improving teachers’ classroom sociology and social justice awareness. Researchers designed a four-week in-service classroom sociology program for primary school teachers. The program aimed to improve the teachers’ awareness and behaviours in terms of classroom sociology and social justice. This applied research was conducted using an in-service program intervention with 12 primary school teacher participants. Data was collected from in-class observations, teacher ethnography notes, participant evaluations, and classroom observations. Initially, participants were more focused on academic performance and teaching routines and largely ignored the social context of the classroom. At the end of the study, teacher participants’ awareness of classroom sociology and social justice increased, and both their attitudes towards their students and their teaching methods changed in a positive manner.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.417
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.059
GPT teacher head0.389
Teacher spread0.330 · 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.

Study designQualitative
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

Citations1
Published2023
Admission routes1
Has abstractyes

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