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Record W4410365085 · doi:10.5771/9781666944679

Mapping Minor/Small and World Literatures

2024· book· en· W4410365085 on OpenAlexaboutno aff

Bibliographic record

VenueLexington Books · 2024
Typebook
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMinor (academic)HistoryArtHumanities

Abstract

fetched live from OpenAlex

<italic>Mapping Minor/Small and World Literatures: Periphery and Center</italic> makes a declarative intervention in debates about world literature, redefining the boundaries between the center and periphery to rejuvenate long-established assumptions about significance and insignificance. In this book, African American literature (emerging from the often overlooked pink periphery, a cramped space of minor literature), works from the Faroe Islands, Basque literature, First Nation Canadian literature, Western narratives about peripheral China, Kurdish literature, the ultraminor literary space of Antigua, the 'favela' of Brazilian literature, as well as the hyperlocal narratives of Australian and New Zealand literature are all studied for their meaningful role within the world literary system. Additionally, working-class writing and the literary contributions of individuals on the margins of their own societies are given a voice, ensuring that the world literary space does not merely represent the perspectives of dominant elites. Unlike other descriptions of world literature, which have frequently allowed the grandeur and breadth of the global to overshadow the imperative for authentic literary biodiversity, this anthology, featuring contributions from diverse scholars representing various countries and backgrounds, actively deconstructs the structures of power and domination inherent in Western-European-centered world literature, minor literature, and small literature.

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 categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.540
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.032
GPT teacher head0.209
Teacher spread0.177 · 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 designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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