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Record W2341242400 · doi:10.36019/9780813547039

Race in the Schoolyard

2019· book· en· W2341242400 on OpenAlexaboutno aff
Amanda E. Lewis

Bibliographic record

VenueRutgers University Press eBooks · 2019
Typebook
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsRace (biology)SociologyGender studies

Abstract

fetched live from OpenAlex

"Race in the Schoolyard is a wonderful book for social scientists studying race, education, and childhood studies. The book showcases the talents of a gifted fieldworker whose theoretically rich work sits on the cutting edge of a growing body of scholarship examining the social worlds of children. School officials, parents, and, most especially, a new generation of teachers will benefit from these lessons on race."- American Journal of Sociology "Instructors may recommend this book to students to whom the topic is surely vital and engrossing and for whom the text will be lively and engaging."- Contemporary Sociology "Lewis moves beyond traditional research methods used to examine achievement gaps and differences in test scores to look closely at the realities of schooling. I highly recommend this work for every person involved in teaching and learning."- Multicultural Review "Through eloquent case studies of three California elementary schools-a white-majority 'good' school, a mostly minority 'tough' school, and an integrated 'alternative' school-[Lewis] demonstrates that schools promote racial inequalities through their daily rituals and practices. Even the notion of a "color-blind" America-an especially popular ideal in the white school-perpetuates racism, Lewis argues, because it denies or dismisses the very real constraints that schools place on minorities. Lewis is nevertheless an optimist, insisting that schools can change ideas of race. . . . Highly recommended. Undergraduate collections and above."- Choice "In this pioneering ethnography in elementary schools, Lewis shows brilliantly how racism is taught and learned in the small places of everyday life."-Joe Feagin, University of Florida and author of Racist America "A wonderful and timely book. Ethnographically rich, theoretically sophisticated, and clearly written, this book addresses the ubiquitous issue of race in all its complexity."-Michèle Foster, author of Black Teachers on Teaching "A compelling ethnography of the racial landscape of contemporary schools."-Barrie Thorne, author of Gender Play: Girls and Boys in School Could your kids be learning a fourth R at school: reading, writing, 'rithmatic, and race ? Race in the Schoolyard takes us to a place most of us seldom get to see in action¾ our children's classrooms¾ and reveals the lessons about race that are communicated there. Amanda E. Lewis spent a year observing classes at three elementary schools, two multiracial urban and one white suburban. While race of course is not officially taught like multiplication and punctuation, she finds that it nonetheless insinuates itself into everyday life in schools. Lewis explains how the curriculum, both expressed and hidden, conveys many racial lessons. While teachers and other school community members verbally deny the salience of race, she illustrates how it does influence the way they understand the world, interact with each other, and teach children. This eye-opening text is important reading for educators, parents, and scholars alike.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.005
Scholarly communication0.0070.005
Open science0.0010.005
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0280.004

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 head0.041
GPT teacher head0.288
Teacher spread0.247 · 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 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

Citations361
Published2019
Admission routes1
Has abstractyes

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