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Record W3084997954 · doi:10.3968/11745

Reconstruction of Black Identity in All Aunt Hagar’s Children

2020· article· en· W3084997954 on OpenAlexvenueno aff
Lanyu Li

Bibliographic record

VenueStudies in literature and language · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicJewish Identity and Society
Canadian institutionsnot available
Fundersnot available
KeywordsAuntOppressionIdentity (music)Gender studiesDisappointmentSociologyPatriarchyWhite (mutation)Identity crisisInterpretation (philosophy)DilemmaPsychoanalysisAestheticsPoliticsPsychologyLawAnthropologyPolitical scienceEpistemologySocial psychologyPhilosophySocial scienceFace (sociological concept)

Abstract

fetched live from OpenAlex

All Aunt Hagar’s Children , the latest work of Edward P. Jones, profoundly reflects the ordinary lives of the African Americans in Washington D.C. during the 20 th century. It comprises 14 short stories which are the minified versions of long novels with a legion of characters. This paper attempts to examine the self-identity crises of these characters in the perspective of the identity theory of Erik. H. Erikson and Anthony Giddens. All black characters in this novel collection encounter the predicament about their self-identity. They are discriminated and marginalized by the dominated white society in Washington in which they make great efforts to assimilate into only to find disappointment. They are faced with the racial identity crises when abandoning their traditional black values and refusing to track their own history. Furthermore, Black women are in the lower position with much more oppression, deprived of the rights from the patriarchy. Through detailed interpretation, this thesis reveals three essential resolutions to save these lost black from identity crisis.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.339
Threshold uncertainty score0.301

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.027
GPT teacher head0.347
Teacher spread0.321 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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