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Record W2885546235 · doi:10.1515/mlt-2018-0002

“Yeah, but I’m Shy!”: Classroom Participation as a Social Justice Issue

2018· article· en· W2885546235 on OpenAlexaff
Robin DiAngelo, Özlem Sensoy

Bibliographic record

VenueMulticultural Learning and Teaching · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsSociologyInjusticeSilencePoliticsPedagogyPower structureSocial justiceGrading (engineering)Critical pedagogySocial psychologySocial sciencePsychologyEthnographyLawAestheticsPolitical science

Abstract

fetched live from OpenAlex

Abstract In-class participation is a common component of many university students’ course grade, yet there has been some debate over whether it is fair to grade participation, given that some students are “ naturally” introverted. In this paper, we problematize the central assumption that the arguments against grading participation rest upon: that classrooms are neutral spaces into which a range of personalities come together, each with unique needs that should be recognized and supported. As educators whose work and teaching is grounded in critical social justice frameworks, we argue that there is a fundamental dynamic that is missed when silence is presumed to be a-political. We argue that classrooms are microcosms of the wider society and as such, are political spaces in which dynamics of unequal social power also play out; there is no neutral classroom or natural mode of engagement. In this paper, we lay out the foundation of a social justice approach to teaching and problematize the notion of neutral classroom spaces. We speak back to some of the most common arguments against grading classroom participation and in doing so argue that participation in classroom settings is a central element to dismantling social injustice in our wider communities.

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)0.001
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 score0.859
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
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 head0.048
GPT teacher head0.408
Teacher spread0.360 · 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

Citations16
Published2018
Admission routes1
Has abstractyes

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