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Record W2473677857

Can a Classroom Be a Family? Race, Space, and the Labour of Care in Urban Teaching

2016· article· en· W2473677857 on OpenAlexaffvenueabout
Kathleen Gallagher

Bibliographic record

VenueCanadian Journal of Education / Revue canadienne de l éducation · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSalience (neuroscience)SociologySpace (punctuation)PedagogyMetaphorSociology of EducationRace (biology)PsychologyMathematics educationGender studies
DOInot available

Abstract

fetched live from OpenAlex

This article reports on findings from a case study of an eighth-grade teacher in an innercity school in downtown Toronto, Canada. It investigates the teacher’s pedagogical use of the metaphor of “family,” using interview data to underscore the effects produced by such an operating logic in a classroom. Methodologically, the article puts forward a novel analytic strategy to keep in dynamic interplay the relationship between how a teacher conceptualizes her teaching practice and where she locates those ideas. By focusing in-depth on one teacher’s pedagogical relations in the classroom, the article aims to better understand how teachers position the ubiquitous notion of “care” in their practice and how they enact “community” in their classrooms and in the larger schools and neighbourhoods in which they work. In this case study, the concepts and experiences of race and space are considered centrally in the examination of a racialized teacher’s pedagogical practices in a diverse and socio-economically marginalized school. The study has important implications for teacher education, inviting us to more explicitly acknowledge the salience of race in our conceptions of “care” and the investment of time and emotion that is demanded when practising politically conscious caring in teaching.

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)0.002
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 score0.529
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
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 head0.034
GPT teacher head0.298
Teacher spread0.264 · 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 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

Citations5
Published2016
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Education / Revue canadienne de l éducationSame topicParental Involvement in EducationFrench-language works237,207