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Record W2054354319 · doi:10.5539/jsd.v7n5p254

Ongoing Informal Settlements in Democratic Republic of Congo: Implementing New Urban Policy for Creating Sustainable Neighborhoods

2014· article· en· W2054354319 on OpenAlexvenueno aff
Misilu Mia Nsokimieno Eric, Earl Bailey, Mpinda T. Martin, Carleen Abraham, Jiangfeng Li, Liqin Zhang

Bibliographic record

VenueJournal of Sustainable Development · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsInformal settlementsHuman settlementDemocracyUrban planningSustainable developmentEnvironmental planningBusinessEconomic growthPolitical scienceGeographyEconomicsEcologyPolitics

Abstract

fetched live from OpenAlex

In Democratic Republic of Congo, informal settlements are still increasing. These irregular neighborhoods adversely affect the quality of urban life. Cities fail to take control of their urban development. New urban policy is necessary for recapturing the capacity building. As an inclusive approach, capacity building strengthens the community capacity to create houses and services that meet the shared vision of all stakeholders. It develops strategic planning for managing growth and change. The study explores the problem of informal settlements in Kinshasa. The study provides a framework for a successful urban development.

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.563
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.018
GPT teacher head0.297
Teacher spread0.279 · 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 designNot applicable
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

Citations5
Published2014
Admission routes1
Has abstractyes

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