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Record W273644060 · doi:10.3138/cjpe.17.007

Evaluating Organizational Capacity Development

2002· article· en· W273644060 on OpenAlex
Ronald Mackay, Douglas Horton, Luis Dupleich, Anders Andersen

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.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Program Evaluation · 2002
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsConcordia University
FundersDanish International Development AgencyInternational Fund for Agricultural DevelopmentAustralian Centre for International Agricultural ResearchMinisterie van Buitenlandse ZakenConcordia UniversityDirektion für Entwicklung und ZusammenarbeitInternational Development Research Centre
KeywordsCapacity developmentAgricultural developmentCapacity buildingProcess managementBusinessLatin AmericansOrganization developmentAgricultureManagement scienceEnvironmental resource managementKnowledge managementPolitical scienceComputer scienceEconomic growthEngineeringEconomics

Abstract

fetched live from OpenAlex

Abstract: While substantial sums are being invested in the development of organizational and institutional capacities, the design and management of capacity development efforts leave much to be desired. Few capacity development initiatives have been systematically and thoroughly evaluated. This article describes the conceptual frameworks and methods used to evaluate a multisite, regional capacity-development project in Latin America and the Caribbean undertaken to strengthen planning, monitoring, and evaluation in agricultural research organizations. The article discusses some of the challenges facing capacity development and its evaluation, outlines the procedures employed, and illustrates these with some consolidated findings in response to four evaluation questions: What were the main contributions of the project to agricultural research management? How were the results achieved? What factors facilitated their achievement? and What lessons can we learn to improve future capacity development efforts and their evaluation?

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)0.019
metaresearch head score (Gemma)0.008
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.956
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0260.001

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 head0.686
GPT teacher head0.547
Teacher spread0.139 · 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