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Record W4254845492 · doi:10.24124/2000/bpgub1220

Grassroots development in El Salvador

2000· dissertation· en· W4254845492 on OpenAlexaff
George A. Harding

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGrassrootsEmpowermentContext (archaeology)Subsistence agriculturePolitical scienceAction (physics)Public relationsSociologyGeographyPoliticsAgricultureLaw

Abstract

fetched live from OpenAlex

In this paper I discuss grassroots development as portrayed in the development literature and use my findings to evaluate three local rural programmes in a poor, remote area of El Salvador, Central America. I set the context by briefly examining and comparing two approaches to development, namely, the paradigm of things and that of people. I also provide moral justifications for the latter paradigm and trace its history as an idea. I then discuss in detail the tree central tenets of grassroots development, participation/collective action, social organization and empowerment. Throughout this process local people are the main actors they are the ones who participate together to form a grassroots organization in order to empower themselves and take more control over their lives. Indicators for the three pillars of grassroots development are used to evaluate the three case studies. The cases are all in a poor department in northeastern El Salvador the participants are subsistence cultivators or artisans. In all three areas local people worked together with varying results. The local development association scored better overall when rated subjectively than did the two coffee co-operatives but the co-op members' well-being were enhanced more through group activities. All participants appeared to be taking more control of their lives.--Page i.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.066
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.301
Teacher spread0.286 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2000
Admission routes1
Has abstractyes

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