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Record W4400443866 · doi:10.55016/ojs/ajer.v51i4.55185

Freire (with Bakhtin) and the Dialogic Classroom Seminar

2005· article· en· W4400443866 on OpenAlexaffvenue
Rick Bowers

Bibliographic record

VenueAlberta Journal of Educational Research · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicRussian Literature and Bakhtin Studies
Canadian institutionsUniversity of Alberta
FundersState University of New YorkUniversity of MinnesotaHarvard University
KeywordsDialogicPsychologyPedagogyMathematics educationSociology

Abstract

fetched live from OpenAlex

This article on pedagogy in the classroom seminar combines the basic principles of dialogue and liberation as expressed especially by 20th-century thinkers Bakhtin and Freire. It argues for a pedagogy of educational growth and facilitation of ideas. Through learner-centered knowledge, dialogic interaction, open exploration, mutual respect, and problem-based learning—as opposed to a pedagogy of conflict, including scenarios of confrontation, monologic assertions of instruction, and expert communiqués—the classroom seminar undergoes authentic liberation and discovery. At all points the classroom must be free from coercion and open to alternative perspectives in order to weigh evidence and arguments as objectively as possible, to break patterns of vertical authority, and to involve all participants in their own education. Not usually compared, these Bakhtinian and Freirean procedures provide sustainable, compassionate, and empowering possibilities for the university classroom seminar in North America and elsewhere.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0060.008
Scholarly communication0.0030.005
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.046
GPT teacher head0.395
Teacher spread0.349 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations9
Published2005
Admission routes2
Has abstractyes

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