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Record W2261595215 · doi:10.1017/s0022216x03007089

Children's Rights and the Tenuousness of Local Coalitions: A Case Study in Nicaragua

2004· article· en· W2261595215 on OpenAlexaff
Richard Maclure, Melvin Sotelo

Bibliographic record

VenueJournal of Latin American Studies · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSolidarityPolitical scienceContext (archaeology)LegislationLegislatureCivil societyPublic administrationState (computer science)Government (linguistics)Economic growthLawPoliticsEconomics

Abstract

fetched live from OpenAlex

Since Nicaragua's endorsement of the UN Convention on the Rights of the Child and the legislative passage of its own Code of Childhood and Adolescence, improvements in the welfare of marginalised youth have depended largely on community-based actions that are sponsored by NGOs and civic groups, many of which function in tangent with municipal government authorities and international aid agencies. In this article we review three community initiatives that have aimed at resolving problems associated with youth alienation and violence in a poor, heavily populated district of Managua. While some modest successes have been achieved, these relatively isolated initiatives have had no evident effect on either the magnitude or the systemic nature of youth marginalisation in Managua. In a context in which the central state is severely constrained by fiscal weakness and corporatist traditions, it is questionable whether in fact the organs of civil society do in fact possess the organisational capacity to generate the structural reforms necessary for the advancement of children's rights at community levels. Nevertheless, despite the amorphous nature of much of civil society in Nicaragua, in the long run children's rights legislation may help to foster growing solidarity among disparate civic forces working to improve the bleak livelihoods of many children.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.136
Threshold uncertainty score0.986

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 studies0.0000.002
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 head0.020
GPT teacher head0.332
Teacher spread0.312 · 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 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

Citations14
Published2004
Admission routes1
Has abstractyes

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