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Record W7100299265

FCNDP No. 177

2004· article· en· W7100299265 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsAgency (philosophy)PovertyEmpowermentGovernment (linguistics)Community developmentControl (management)Capacity buildingInternational development
DOInot available

Abstract

fetched live from OpenAlex

CARE began PROSPECT (Program of Support for Poverty Elimination and Community Transformation) in 1998. PROSPECT aims to reduce poverty in peri-urban areas of Lusaka. It employs a community-based approach to carry out three types of activities: social empowerment (institution building at the local level), personal empowerment (microfinance), and infrastructure improvement (mostly water supply schemes). PROSPECT has attempted to carry out these activities largely through its support of area-based organizations (ABOs) that now form part of city government. The zone development committees (ZDCs) and residents development committees (RDCs) are the basic components of the ABO structure. These are community-level representations of municipal government; they are the communitys mechanisms for expressing its voice and driving development. PROSPECT is itself an extension of an earlier project, PUSH II (Peri-Urban SelfHelp Project). PUSH II and PROSPECT are fundamentally about developing community-based and community-driven development (CDD) mechanisms and strengthening community capacities to identify and respond to community needs. The paper examines the scaling-up experience of PUSH II and PROSPECT, looking especially at the mechanisms of CDD, the ABOs. Evolution of PUSH and PROSPECT PUSH I (199194) was a food-for-work (FFW) program sponsored by the Government of Zambia, the World Food Programme (WFP), and the Canadian International Development Agency (CIDA). The objective of PUSH was to alleviate the negative effects of structural adjustment and stabilization and of the 199192 drought on well-being and food security. direct implementation to facilitation of implementation and to building the capacity of the iii community to identify development and...

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.922
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.003

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 head0.027
GPT teacher head0.287
Teacher spread0.260 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2004
Admission routes1
Has abstractyes

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