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Record W3121464796

Sitting on Powder Kegs: Socioeconomic Rights in Transitional Societies

2009· article· en· W3121464796 on OpenAlexaff
Ismael James Muvingi

Bibliographic record

VenueSSRN Electronic Journal · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican studies and sociopolitical issues
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsTransitional justicePoliticsPolitical scienceCivil societySocioeconomic statusPolitical economyHuman rightsEconomic JusticeDevelopment economicsCriminologyLawSociologyEconomics
DOInot available

Abstract

fetched live from OpenAlex

Considerable progress has been made in the field of transitional justice in recent years, signified by such landmarks as a permanent international criminal court. Unaddressed aspects of transition remain, however, which need serious attention if peace is to be sustainable in the long term. Oppressive political arrangements favor particular segments of society while simultaneously disenfranchising and economically and socially excluding the less powerful. To date, transitional justice initiatives have focused on the cessation of violence, establishing order and correcting civil and political injustices. Social and economic factors have taken second or no place at all. Yet, social and economic grievances can be ‘powder kegs’ that, if left unaddressed, threaten to blow up peace initiatives. Zimbabwe provides empirical evidence of the dangers of marginalizing economic and social imperatives in the transition from repression.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.020
Scholarly communication0.0060.005
Open science0.0010.009
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.009
GPT teacher head0.290
Teacher spread0.281 · 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 designObservational
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

Citations3
Published2009
Admission routes1
Has abstractyes

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