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Record W2062767910 · doi:10.5539/ass.v9n9p94

The Management of Water Points in Niger under the Communalization

2013· article· en· W2062767910 on OpenAlexvenueno aff
Zakari Aboubacar

Bibliographic record

VenueAsian Social Science · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsnot available
Fundersnot available
KeywordsCommissionOrder (exchange)Water supplyRural areaGovernment (linguistics)BusinessProcess (computing)Local governmentEnvironmental planningPolitical sciencePublic administrationEnvironmental scienceComputer scienceEnvironmental engineeringFinance

Abstract

fetched live from OpenAlex

This paper seeks to analyze the management of water points in Niger according to the communalization process. It explains how the new reform of management in the supply of water, as a government policy, in the local areas raises new issues in Sahel and Niger countries. It looks into the issue of water supply which is at the heart of public policy to the countryside. It analyzes not only the importance of water points in Niger but also some sources of concern in the use according to the different logics involved. The paper further relates the role of media in social change according to the using of water in order to protect climate change. The paper concludes that, if, the aim for central and local authorities is to achieve local development, the confrontation between these two approaches must contribute to achieve the desired effect. The paper recommends that in order to solve this social problem, the mayors and central authorities must take into consideration the reaction of the different actors and should install in all the country the Land Commission under the Rural Safety Program.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.778
Threshold uncertainty score1.000

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 studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.010
GPT teacher head0.268
Teacher spread0.258 · 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.

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

Citations2
Published2013
Admission routes1
Has abstractyes

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