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Record W2063547930 · doi:10.1017/s0021855306000246

The Precarious Place of Labour Rights and Movements in Nigeria's Dual Economic and Political Transition, 1999–2005

2007· article· en· W2063547930 on OpenAlexaff
Obiora Chinedu Okafor

Bibliographic record

VenueJournal of African Law · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsYork University
Fundersnot available
KeywordsDemocracyPoliticsHuman rightsPolitical economyPolitical scienceEconomicsEconomic systemLaw

Abstract

fetched live from OpenAlex

Abstract Caught between pressure from dominant global economic actors (such as the International Monetary Fund (IMF), the World Bank (WB), and certain states) to implement painful socio-economic reform measures, and pressure from significant numbers of their own peoples to reject these IMF/WB-style prescriptions, formally democratic “third world” governments often yield to the demands of the former to push through such reforms, sometimes at great social cost. This article utilizes a contemporary Nigerian case study to illustrate this point and to show how the curtailment of labour rights and the weakening of labour movements have formed an important part of the economic strategy of many such governments. This anti-labour rights/movements strategy is an attempt by governments to deal with the human rights contradictions that are often generated when third world countries attempt dual political and economic transitions. The article argues that the deployment of an anti-labour strategy is grounded in a new kind of “full belly thesis” that prioritizes a particular IMF/WB-friendly vision of economic development over certain kinds of political (especially labour) rights. The powerful global economic actors, who would otherwise advocate the observance of all human rights, have nevertheless found this thesis more acceptable than its earlier iteration, which was grounded in a far less IMF/WB-friendly economic vision.

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)0.001
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 score0.898
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.006
GPT teacher head0.258
Teacher spread0.252 · 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 designTheoretical or conceptual
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

Citations11
Published2007
Admission routes1
Has abstractyes

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