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Record W2900365438 · doi:10.1111/oli.12212

Fight, love, and flee

2018· article· en· W2900365438 on OpenAlexaboutno aff
Noha F. Abdelmotagally

Bibliographic record

VenueOrbis Litterarum · 2018
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsWhite (mutation)Cognitive dissonanceLegendPower (physics)SubjectivityInterpretation (philosophy)PsychoanalysisHegemonyHistoryArtSociologyLiteraturePsychologyPhilosophyEpistemologySocial psychologyPoliticsLawPolitical science

Abstract

fetched live from OpenAlex

Horane Smith, the Jamaican‐born award‐winning Canadian writer, reworks the Jamaican legend of Lovers’ Leap in his novelLover's Leap(1999), to renegotiate the past and uncover what is hushed up in history and literature. He brings to light the white mistress's relationship with the enslaved black man, a topic largely unexplored by writers and scholars. The enslaved black woman/free white mistress dichotomy places Jerome, the Jamaican black slave, in a constant state of dissonance. The subjectivity of the enslaved African is underexplored in the critical literature on Caribbean slavery, and besides, psychoanalysis in Caribbean literature is an underused critical approach; I am thus enticed to braid Leon Festinger's Cognitive Dissonance theory (1957) with Frantz Fanon's “psychoanalytical interpretation of the black problem” inBlack Skin White Masks(1952) to delve deep into Jerome's inner self and examine how he responds to attitude and behavior inconsistencies produced within various contexts of hegemonic power.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.065
Threshold uncertainty score0.129

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 studies0.0170.024
Scholarly communication0.0070.003
Open science0.0000.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0120.002

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 head0.040
GPT teacher head0.403
Teacher spread0.363 · 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 designNot applicable
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

Citations1
Published2018
Admission routes1
Has abstractyes

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