MétaCan
Menu
Back to cohort
Record W2608671419

Community Driven Development in Contexts of Conflict. Concept Paper Commissioned by ESSD, World Bank

2003· article· en· W2608671419 on OpenAlexaboutno aff
Arne Strand, Hege Toje, Alf Morten Jerve, Ingrid Samset

Bibliographic record

VenueDuo Research Archive (University of Oslo) · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceCommunity developmentSociologyBusinessLaw
DOInot available

Abstract

fetched live from OpenAlex

Violent conflict represents not only a significant barrie r to\ndevelopment; it also wipes out efforts to improve the situation.\nExperience from many developing countries has shown that\nCommunity Driven Development (CDD) programmes have\nbeen particularly effective in establishing or expanding\nessential social services and physical infrastructure at the local\nlevel. However, using CDD approaches in a conflict context as\na means in post-war rehabilitation represents new challenges.\nWhen carried out in contexts of past or persistent conflict,\nCDD projects are confronted with some major challenges:\n•communities where projects are set may be deeply\ndivided;\n•power is unequally distributed;\n•lines between combatants and civilians may be\nblurred;\n•a need to address past traumas may give rise to calls\nfor inquiries or trials; and\n•economic recovery and basic services may be urgently\nneeded.\nNonetheless, the point of departure in this paper commissioned\nby the CDD unit of the Environmentally and Socially\nSustainable Development (ESSD) Network of the World Bank,\nis that participatory and demand-led development approaches\nmight potentially address three critical concerns in conflict\ncontexts:\n•The need for speedy and cost-effective delivery of\nreconstruction assistance.\n•The need to improve the state-citizen relationship.\n•The need to create alternative forms of community\norganisation that foster reconciliation between\nfactions of the society.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.759
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.052
GPT teacher head0.319
Teacher spread0.267 · 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 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

Citations14
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueDuo Research Archive (University of Oslo)Same topicInternational Development and AidFrench-language works237,207