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Record W2164099811

Community Mobilization Around Social Dilemmas:Evidence from Lab Experiments in Rural Mali

2013· article· en· W2164099811 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEl Servicio de Difusión de la Creación Intelectual (National University of La Plata) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Studies and Geopolitics
Canadian institutionsUniversité Laval
FundersBill and Melinda Gates Foundation
KeywordsMobilizationSocial mobilizationCommunity mobilizationPolitical scienceResource mobilizationSocial movementPoliticsLaw
DOInot available

Abstract

fetched live from OpenAlex

Community mobilization is a key feature of community-based development projects. Community mobilization requires facilitating communication between village members and between leaders and the rest of the community. Is communication an effective device through which mobilization may foster collective action? Does informing the community on how to reach a better social outcome key? Should we expect the effectiveness of community-based programs to depend on the quality of leadership in the community? In rural communities of Mali, we find evidence of high levels of cooperation as measured by a standard public good game. Communication between players increases contributions to the public good. Passing of information through a random community member also improves cooperation, and leadership skills matter. We also find suggestive evidence that changes in behavior are mediated through changes in beliefs. The experiments are embedded in a larger randomized controlled trial designed to evaluate the impact of a community-based sanitation intervention. As such, our results are relevant for a large population. Finally, we find that the program help strengthen the capacity for collective action.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.176
Threshold uncertainty score0.856

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.308
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