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Record W4414895543 · doi:10.1080/15505170.2025.2563521

Building inclusive democratic engagement: Incorporating interracial-communication pedagogy into public-participation instruction

2025· article· en· W4414895543 on OpenAlexfundno aff
Penelope Nortey, Temidayo Eseonu, Rebecca Freeth, Robert C. Richards

Bibliographic record

VenueJournal of Curriculum and Pedagogy · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDemocracyDemocratic educationTeaching methodInclusion (mineral)Higher education

Abstract

fetched live from OpenAlex

Building interracial communication pedagogy into instruction in public participation is essential for democratic learning in multiracial societies, since racial inequality—rooted in histories of colonialism, enslavement, and segregation—continues to structure democratic participation in postcolonial nations. After reviewing the literature on interracial-communication pedagogy in public-participation instruction, this paper sets out an original theoretical framework—consisting of consciousness raising; storytelling and reflection; the empowering, challenging, and protecting of learners; skill building; and utopianism—for analyzing interracial-communication teaching strategies in the context of public-participation trainings and courses. That framework is then applied in a comparison of interracial-communication instructional practices—and challenges implementing those practices—in South Africa, the UK, and the U.S. Results indicate that the theoretical framework is generally congruent with the observed teaching strategies. The results suggest the value of cross-national comparisons of interracial-communication pedagogical practices in the context of public-participation instruction. In addition, this study indicates that incorporating interracial-communication teaching strategies into trainings and courses in public participation can prepare students and community members for active participation in more inclusive democratic societies.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.504
Threshold uncertainty score0.765

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 studies0.0010.000
Scholarly communication0.0000.001
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 head0.435
Teacher spread0.404 · 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 designTheoretical or conceptual
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
Published2025
Admission routes1
Has abstractyes

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