MétaCan
Menu
Back to cohort
Record W3192711635 · doi:10.1093/jsh/shab030

<i>A History of the Republic of Biafra: Law, Crime, and the Nigerian Civil War</i>. By Samuel Fury Childs Daly

2021· article· en· W3192711635 on OpenAlex
Meredith Terretta

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

VenueJournal of Social History · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSpanish Civil WarContext (archaeology)Argument (complex analysis)State (computer science)LawNigeriansMemoirThe RepublicPolitical scienceSociologyHistoryEconomic historyTheology

Abstract

fetched live from OpenAlex

As I read this book on the Biafran War and its aftermath, the COVID-19 pandemic disrupted rights and mobility everywhere to varying degree, ushering in a state of prolonged uncertainty across the world. This present-day backdrop made it easier to imagine the cumulative and increasingly grave effects of the changes to daily life that war ushered in to 1970s Nigeria following the Republic of Biafra’s brief existence. Daly’s central argument is that “It is impossible to understand Nigeria’s long experience of crime without the context of the Nigerian Civil War—specifically, the survival tactics that Biafrans and Nigerians developed to cope with wartime dangers and postwar hardships” (13). Criminality is not inherent to Nigeria as popular and scholarly portrayals too often suggest. Rather, it is contingent, arising from the war and its aftermath. Using evidence gathered from incomplete court records, memoirs and supplemented with some thirty oral interviews (2, 23-6), Daly...

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: none
Teacher disagreement score0.895
Threshold uncertainty score0.928

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
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 head0.018
GPT teacher head0.184
Teacher spread0.166 · 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