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Record W2955085960 · doi:10.19044/esj.2019.v15n16p229

The Legacy of Imperialism in Nigeria

2019· article· en· W2955085960 on OpenAlexaff
Justina Adalikwu-Obisike, Ebere Ellison Obisike

Bibliographic record

VenueEuropean Scientific Journal ESJ · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Education and Politics
Canadian institutionsBurman University
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

At independence in 1960, the colonial rule in Nigeria transformed into neo-colonialism. Nigeria gained political sovereignty through a negotiated settlement that has retained and maintained economic, commercial, and intellectual ties with the ex-colonial administrators and other western nations. Agriculture, which was the economic focus of the colonial administration took a back seat once oil was discovered in commercial quantity in present day Bayelsa state after several failed attempts dating back to 1913. As oil became the main economic attraction in the post-colonial rule, it had various implications for the political economy of Nigeria. Despite attempts to pursue agriculture as a colonial heritage and for the benefit of Nigerians, the discovery of oil in 1956 and the oil boom in the 1970s laid the foundation for Nigeria's dependence on oil as the primary source of its GDP. Using secondary sources and insight from our previous fieldwork in the Niger Delta region, the main argument in this paper is that, imperialism perpetuated the exploitation of agricultural products while its legacy, neo-colonialism has preserved the exploitation of crude oil to the detriments of other economic ventures and the Nigerian masses. Therefore, we posit that the transformation of colonialism into neo-colonialism in Nigeria has resulted in desperation for Nigerians as this arrangement gives power without responsibility and exploitation without redress.

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)0.006
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 score0.783
Threshold uncertainty score0.655

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.019
GPT teacher head0.314
Teacher spread0.294 · 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.

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

Citations1
Published2019
Admission routes1
Has abstractyes

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