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Record W2142912468 · doi:10.5334/sta.ff

Community-Driven Development in Conflict-Affected Contexts: Revisiting Concepts, Functions and Fundamentals

2015· article· en· W2142912468 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueStability International Journal of Security and Development · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCommunity Development and Social Impact
Canadian institutionsnot available
Fundersnot available
KeywordsCLARITYPsychological interventionSet (abstract data type)Function (biology)Intervention (counseling)Conceptual frameworkCore (optical fiber)Process managementManagement sciencePsychologyPublic relationsKnowledge managementPolitical scienceComputer scienceSociologyBusinessEconomics

Abstract

fetched live from OpenAlex

Community-Driven Development (CDD) is a popular aid delivery strategy in conflict-affected contexts. While the strategy remains appealing, the growing body of evidence suggests that CDD does not systematically deliver on all the desired outcomes. This may potentially be explained by the lack of clarity around the objectives and theoretical underpinnings of CDD interventions. This paper proposes ways to clarify the objectives, outcomes, theories of change and core processes of the CDD strategy in an effort to improve the design and evaluation of CDD interventions. We suggest schemas for prioritizing the function and outcomes of a given intervention, provide examples of reduced form theories of change and identify a set of ‘core processes.’ We hope these suggestions will assist practitioners in making the theoretical motivations, assumptions and trade-offs of their design choices that much more explicit and in so doing, improve our ability to deliver better interventions to conflict-affected populations. This paper forms part of a wider conceptual project supported by UK Department for International Development (DFID)’s Research and Evidence Division.

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.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score0.733

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 integrity0.0000.001
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 head0.106
GPT teacher head0.315
Teacher spread0.209 · 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