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Indigenous Parallels: Re-reading Things Fall Apart Through a Pre-Christian Zeliangrong Lens

2025· article· W4417505739 on OpenAlexaff
Langongam Kamei

Bibliographic record

VenueAdvanced International Journal for Research · 2025
Typearticle
Language
FieldSocial Sciences
TopicAfrican studies and sociopolitical issues
Canadian institutionsGovernment of Manitoba
Fundersnot available
KeywordsIndigenousIgboColonialismAncestorKinshipParallelsMAGIC (telescope)Eurocentrism

Abstract

fetched live from OpenAlex

This article reinterprets Chinua Achebe’s Things Fall Apart (1958) through the cosmological, ritual, and social frameworks of the pre-Christian Zeliangrong peoples of Northeast India. Drawing on Kahmei (2023) and Kamei (1999, 2004, 2010), it examines structural parallels between Igbo and Zeliangrong worlds, including ancestor veneration, ritual authority, kinship governance, and responses to colonial disruption. While Achebe depicts Umuofia’s collapse under missionary and colonial influence, a Zeliangrong comparative lens highlights adaptive continuity, ritual resilience, and ecological ethics. This cross-indigenous approach emphasizes relational morality, decentralized governance, and communal cohesion as core indigenous logics, revealing that the novel’s tragedy is historically specific rather than universally representative. By juxtaposing Igbo cosmology with Zeliangrong practices, the study situates Things Fall Apart within a trans-indigenous discourse of moral, spiritual, and ecological order. It underscores the diversity of indigenous experiences, demonstrating that responses to colonial disruption encompassed both disintegration and continuity, thereby broadening the interpretive possibilities of Achebe’s work.

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)0.002
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: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.037
Scholarly communication0.0060.008
Open science0.0010.005
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.126
GPT teacher head0.517
Teacher spread0.391 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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