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Record W1992096083 · doi:10.7771/1481-4374.1270

Hybridity and Whiteness in Claudine C. O'Hearn's Half and Half: Writings on Growing up Biracial and Bicultural

2005· article· en· W1992096083 on OpenAlex
Heather Latimer

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.

Bibliographic record

VenueCLCWeb Comparative Literature and Culture · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsHybridityIdentity (music)InvisibilityGender studiesSociologyAestheticsArtAnthropologyComputer science

Abstract

fetched live from OpenAlex

In her paper, "Hybridity and Whiteness in Claudine C. O'Hearn's Half and Half: Writings on Growing up Biracial and Bicultural," Heather Latimer examines the autobiographical collection Half and Half: Writings on Growing up Biracial and Bicultural assembled and edited by Claudine C. O'Hearn. Latimer's analysis reveals how current models of hybridity theory are performed, articulated, and exemplified in the texts of O'Hearn's volume. In her analysis, Latimer explores the anxiety and tension about whiteness within hybridity theory, often reflected in the performance of hybrid aesthetics. Latimer argues that while some authors in Half and Half avoid talking about whiteness as a way to establish legitimate hybrid identities, this avoidance actually resinscribes an authenticity to their identities which in turn replicates the very oppressive processes of identity formation they are attempting to write against. Latimer sees other authors in the volume, however, as disrupting the stability and invisibility of whiteness by performing a type of hybridity that makes visible the made-up and constructed nature of all racial identities.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.943
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
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 head0.031
GPT teacher head0.260
Teacher spread0.229 · 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