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Record W4391106318 · doi:10.1080/13597566.2024.2306546

Evidence of subnational government sovereign boundary percolation in Nigeria

2024· article· en· W4391106318 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

VenueRegional & Federal Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Government Finance and Decentralization
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsSovereigntyConceptualizationExtant taxonForeign direct investmentPolitical scienceGovernment (linguistics)Boundary (topology)Sovereign stateEconomicsLaw

Abstract

fetched live from OpenAlex

This study analyzes data from 1999-2019, evidencing strategies utilized by Nigerian Subnational Governments (SNGs) for attracting inward Foreign Direct Investment (FDI). These strategies are unique for several reasons, including the fact that they highlight the evidence of paradiplomacy in Nigeria, a case study that is understudied in the paradiplomacy literature. These strategies are also a deviation from the conventional protocols for FDI mobilization in Nigeria. Drawing on Duchacek's conceptualization of these strategies as a percolation of sovereign boundaries, i.e. the idea that SNGs are permeating inter-sovereign 'sieves' designed to restrict their forays into the international plane, this paper conceptually maps and empirically assesses the varied expressions and prevalence of these strategies. Although these strategies are yet to be constitutionally challenged by the central government, they reveal a growing porosity of Nigeria's sovereign boundaries and necessitate a critical reassessment of the extant intergovernmental frameworks that govern FDI mobilization in Nigeria.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.639
Threshold uncertainty score0.317

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.089
GPT teacher head0.366
Teacher spread0.277 · 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