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Record W4389632290 · doi:10.1007/978-3-031-32111-5_15

Fiction as a Spider’s Web? Ananse and Gender in Karen Lord’s Speculative Folktale Redemption in Indigo

2023· book-chapter· en· W4389632290 on OpenAlexaff
Tegan Zimmerman

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAfrican Sexualities and LGBTQ+ Issues
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsLiminalityTricksterDiasporaHistoryXhosaNeocolonialismLiteratureArtGender studiesColonialismAnthropologySociologyAestheticsPhilosophy

Abstract

fetched live from OpenAlex

Abstract Karen Lord’s speculative folktale Redemption in Indigo (2010) engages the other-wordly or un-worldly to explore Caribbean social justice issues such as race, gender, and class inequality. Demonstrating her trickster powers, Lord merges folk gods and hero(ines) from different African traditions, for example Akan, Ashanti, Xhosa, and Karamba, with those found in Caribbean cultures. This syncretic textual strategy not only emphasizes the subversive, liminal qualities of both Ananse, the African-Caribbean folk figure, and Anansesem in challenging colonial metanarratives of time and space that have erased, denigrated, or falsely represented the African-Caribbean woman but also critiques masculinist versions of Ananse and traditionally male-dominated Anansesem. By contrast, Lord’s antipatriarchal, anticolonial account foregrounds Ananse’s feminine qualities and empowered female figures: the nonbinary storyteller, the heroine Paama, and the goddess Atabey. In doing so, Lord offers a new futuristic, feminocentric Ananse story whose weblike concentric patterns interweave the African past with the Caribbean present, the ancestral homeland with the diaspora.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.424
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.096
GPT teacher head0.347
Teacher spread0.251 · 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.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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