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Record W4389399094 · doi:10.1163/18757421-05402009

Violence-as-Norm in the Postcolony

2023· article· en· W4389399094 on OpenAlexaff
Mathias Iroro Orhero, Chikezirim Nwoke

Bibliographic record

VenueMatatu · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsCarleton UniversityMcGill University
Fundersnot available
KeywordsDissentColonialismSubalternNorm (philosophy)SociologyPolitical dissentGender studiesPolitical sciencePoliticsLaw

Abstract

fetched live from OpenAlex

Abstract In this paper, we explore forms of statist violence in both colonial and postcolonial contexts to underscore it as a constant in a postcolonial location like Nigeria. In addition to exploring how statist violence works, we also position civic dissent as a strategy employed in the colony and postcolony to confront statist violence. Our theorization of “violence-as-norm” is motivated by earlier ideas like the works of the South Asian Subaltern Studies Collective, Tejumola Olaniyan’s “postcolonial incredible,” Toyin Falola’s views on violence within Nigerian history, and Achille Mbembe’s notions of banality and vulgarity in the postcolony. Our paper engages with Peter Omoko’s Majestic Revolt to demonstrate how “violence-as-norm” mediates colonial violence and civic dissent. Furthermore, by close-reading Chiedozie Omeje’s “When Cowards Win,” we explore postcolonial forms of violence through the EndSARS movement against police brutality in Nigeria to demonstrate how civic dissent is performed and ruptured in the contemporary moment. Ultimately, our research positions the Fanonist category of violence as a way to imagine the inherent coloniality of postcolonial nation-states, thereby extending the critique of the nation-form in postcolonial studies.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.844
Threshold uncertainty score0.998

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)0.0000.002

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 head0.028
GPT teacher head0.246
Teacher spread0.217 · 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
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
Published2023
Admission routes1
Has abstractyes

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