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Record W2791863567 · doi:10.1057/978-1-137-59426-6_19

Intensification and Attenuation: Colonial Influences on an African Culture

2018· book-chapter· en· W2791863567 on OpenAlexaboutno aff
Augustine Agwuele

Bibliographic record

VenuePalgrave Macmillan US eBooks · 2018
Typebook-chapter
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismYorubaNothingNewspaperHuman settlementPoliticsHistoryGender studiesSociologyPolitical scienceAnthropologyMedia studiesLawEpistemology

Abstract

fetched live from OpenAlex

It is often presumed that colonialism radically altered the cultures that were under it. The showcase of colonialism is the continent of Africa. In most other places, colonialism transitioned to settlements, for instance the United States and Canada. Focusing on Yoruba culture, I will argue that colonialism rapidly and radically intensified or attenuated existing practices rather than upended or even radically changed or transformed them. I will explore the notion that there is perhaps nothing in the way of life that was introduced into Yoruba culture that was not previously available to them or to which they did not have a predisposition, examining the comments of the people in newspapers from the national archive on social, religious, and political institutions as well as popular cultural dynamics involving interpersonal and group interactions. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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)0.001
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.011
Scholarly communication0.0050.004
Open science0.0000.004
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.025
GPT teacher head0.282
Teacher spread0.257 · 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
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

Citations1
Published2018
Admission routes1
Has abstractyes

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