MétaCan
Menu
Back to cohort
Record W3165030370 · doi:10.1111/hic3.12663

Blood in Biafra: Re‐evaluating politics and ethnocultural conflict in the Nigerian‐Biafran War

2021· article· en· W3165030370 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHistory Compass · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSpanish Civil WarIndependence (probability theory)PoliticsProsperityColonialismHegemonyGriefPolitical scienceDevelopment economicsHistoryPolitical economySociologyPsychologyLawEconomics

Abstract

fetched live from OpenAlex

Abstract In 1967, just ​seven years after declaring independence from British colonization, a civil war erupted in Nigeria that left millions of civilians dead and the country known as the “Giant of Africa” fractured and reeling. In the decades since the conflict, historians delineated the causes and consequences of what became known as the Nigerian‐Biafran War. The aim of this paper is to examine historical and academic sources about the years leading up to the war in 1967, towards a nuanced understanding of a watershed moment in Nigerian history. The article contends that for Nigeria to progress towards political stability and economic prosperity in the twenty‐first century, the Nigerian‐Biafran War must be re‐imagined as a predictable aftermath of hegemonic colonialism and ethnicism. As such, this paper contributes to the emerging literature on the impact of the civil war on collective grief, ethnocultural relations, economics, and post‐colonial history.

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.

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 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 score0.968
Threshold uncertainty score0.655

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)0.0010.000

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 head0.119
GPT teacher head0.267
Teacher spread0.148 · 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