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Record W2129015961 · doi:10.1017/s0022278x09003826

Remarkable returns: the influence of a labour-led socio-economic rights movement on legislative reasoning, process and action in Nigeria, 1999–2007

2009· article· en· W2129015961 on OpenAlexaff
Obiora Chinedu Okafor

Bibliographic record

VenueThe Journal of Modern African Studies · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Sociopolitical Dynamics in Nigeria
Canadian institutionsYork University
Fundersnot available
KeywordsLegislatureLeverage (statistics)Government (linguistics)Action (physics)Legislative processExecutive branchLegislative assemblyPolitical scienceMovement (music)EconomicsPublic economicsPolitical economyBusinessPoliticsLaw

Abstract

fetched live from OpenAlex

ABSTRACT During 1999–2007, a labour-led but broad-based socio-economic rights movement, which focused on a pro-poor (and therefore highly popular) anti-fuel price hike message, persuaded and/or pressured Nigeria's federal legislature, the National Assembly, to: mediate between it and the Executive Branch of Government; take it seriously enough to lobby it repeatedly; re-orient its legislative processes; explicitly oppose virtually all of the Executive Branch's fuel price hikes; and reject key anti-labour provisions in a government bill. Yet the movement did not always succeed in its efforts to influence the National Assembly. This article maps, discusses, contextualises and analyses these generally remarkable developments. It also argues that while many factors combined to facilitate or militate against the movement's impact on legislative reasoning, process and action during the relevant period, this movement's ‘mass social movement’ character was the pivotal factor that afforded it the necessary leverage to exert considerable, if limited, influence on the National Assembly.

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)0.008
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.010
Scholarly communication0.0060.002
Open science0.0010.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.020
GPT teacher head0.341
Teacher spread0.321 · 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 designQualitative
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

Citations21
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Modern African StudiesSame topicReligion and Sociopolitical Dynamics in NigeriaFrench-language works237,207