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Record W1882356166 · doi:10.21423/jume-v2i2a46

Social Identities and Opportunities to Learn: Student Perspectives on Group Work in an Urban Mathematics Classroom

2009· article· en· W1882356166 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Urban Mathematics Education · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Race Theory in Education
Canadian institutionsUniversity of Toronto
FundersUniversity of TorontoConnaught FundNational Science Foundation
KeywordsMathematics educationGroup workClass (philosophy)Group (periodic table)Style (visual arts)Work (physics)PerceptionRace (biology)Critical race theoryPedagogySociologyPsychologyGender studiesEpistemology

Abstract

fetched live from OpenAlex

In this article, the authors investigate group work in a heterogeneous urban high school mathematics classroom. Two questions are explored: How do students describe cooperative group work in their mathematics class? How do students describe the way their socially constructed identities influence the nature of their group interactions in mathematics classrooms? The authors present a case study of the ways in which race, gender, and other social identities might influence the nature of group work in reform-oriented high school mathematics classrooms. The analysis, based on 14 interviews with high school students, focused on students’ perceptions of group work and their theories about when cooperative groups work well and when they do not. Students named interactional style, mathematical understanding, and friendships and relationships as the most influential factors. Using an analytic lens informed, in part, by critical race theory, the authors highlight the racialized and gendered nature of these factors.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.276
Threshold uncertainty score0.641

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.055
GPT teacher head0.403
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