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Record W2056609145 · doi:10.1080/09518398.2012.731537

Coping with the crickets: a fusion autoethnography of silence, schooling, and the continuum of biracial identity formation

2012· article· en· W2056609145 on OpenAlexaff
Lynnette Mawhinney, Emery Petchauer

Bibliographic record

VenueInternational Journal of Qualitative Studies in Education · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Race Theory in Education
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsAutoethnographySilenceIdentity (music)Identity formationPsychologyCoping (psychology)Gender studiesSocial psychologySociologyDevelopmental psychologySelf-conceptAesthetics

Abstract

fetched live from OpenAlex

Abstract This study explores biracial identity development in the adolescent years through fusion autoethnography. Using an ecological model of biracial identity development, this study illustrates how family, peers, and school curricula validate and reject racial self-presentations. We pay specific attention to the different forms of silence (i.e. "crickets") that teachers and peers deploy as tactics of rejection and how racially coded artifacts such as hip-hop culture and Black Liberation texts function as validations of racial self-presentations. Overall, this study helps researchers and practitioners to understand the fluidity of biracial and multiracial identity development as it relates to everyday school spaces and processes. Keywords: racial identity developmentschool contextfusion autoethnographysilence Notes 1. In this article, individual pronouns (i.e. I, me) refer to the first author and plural ones (i.e. we) refer to both authors. 2. All names, with the exception of one person, are pseudonyms to ensure anonymity. The one name, Damien, is not a pseudonym as his poetry was cited in this work.

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)0.007
metaresearch head score (Gemma)0.006
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 score0.136
Threshold uncertainty score0.688

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.102
GPT teacher head0.546
Teacher spread0.444 · 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

Citations14
Published2012
Admission routes1
Has abstractyes

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