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Record W2305398942 · doi:10.5195/dpj.2016.160

Classroom community and discourse: How argumentation emerges during a Socratic circle

2016· article· en· W2305398942 on OpenAlexaff
Alexis Brown

Bibliographic record

VenueDialogic Pedagogy A Journal for Studies of Dialogic Education · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsDialogicArgumentation theorySocratic methodMeaning (existential)Construct (python library)LiteracyDiscourse analysisPedagogySociologySocratic questioningMathematics educationEpistemologyPsychologyLinguisticsComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Literacy and language development is a central aspect of educational theory and practice. One area of literacy and rowlanguage research that has had a lot of attention is dialogic teaching (Bakhtin, 1984; Freire, 1970; Murphey, Wilkinson, Soter, Hennessey, & Alexander, 2009; Reznitskaya & Gregory, 2013). However, there is limited research on how high school students use their classroom discourse to construct meaning, especially in argumentation. The purpose of this data analysis is to investigate the emergence of argumentation literacy in a Socratic circle. Socratic circles, a literacy practice consisting of two concentric circles of students focused around a piece of text, are used to provide students with the opportunity to co-construct meaning through classroom dialogue (Copeland, 2005). The emergence and construction of argumentation is analyzed by applying discourse analysis to a video of a high school classroom,. Findings from this analysis reveal that through the use of exploratory talk, three discourse patterns emerge that are in line with argumentation practices: (1) generalizations, (2) communicative struggles, and (3) co-construction of ideas. Results of the analysis are discussed to inform theory and instruction on dialogic teaching and the use of Socratic circles to develop argumentation-related forms of literacy.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.277
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.097
GPT teacher head0.459
Teacher spread0.362 · 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

Citations23
Published2016
Admission routes1
Has abstractyes

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