MétaCan
Menu
Back to cohort

The Role of Extension Training in Enhancing Participation of Women Smallholder Goat and Chicken Farmers in The Livestock Vaccine Value Chain, Sembabule District, Uganda

2023· article· en· W4389316328 on OpenAlexfundno aff
Lillian Tukahirwa, Anthony Mugisha, Clovice Kankya, Elizabeth Kyewalabyea, Anna B. Ninsiima, Dean Kusiimakwe, Kenneth Mugabi, Winnie Bikakko, Beth A. Miller, Brigitte Bagnol, Agnes Yawed, Meghan Stanley, Lillian Owembabazi, Stallon Justus Kisembo, Hellen Amuguni

Bibliographic record

VenueInternational Journal of Agriculture Extension and Rural Development Studies · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Systems and Practices
Canadian institutionsnot available
FundersInternational Development Research CentreGlobal Affairs CanadaBill and Melinda Gates Foundation
KeywordsLivestockEmpowermentProductivityBusinessFocus groupAutonomyAgricultural scienceCitizen journalismValue (mathematics)SocioeconomicsMarketingGeographyPolitical scienceEconomic growthEconomicsBiologyForestry

Abstract

fetched live from OpenAlex

This paper explores the role of extension training in enhancing women smallholder livestock farmers’ participation in and benefiting from the livestock vaccine value chain (LVVC). The emphasis was on the Peste des Petits Ruminants (PPR) vaccine for goats and New Castle Disease vaccine (ND) for chicken. Using the Focus Group discussions, Participatory Impact Assessment, Outcome mapping, Key Informant Interviews, Questionnaire Survey and Kirkpatrick model of change, the study assessed the impact of extension training which equipped extensionists and women farmers with knowledge, skills, attitude and practice in livestock vaccination and empowerment. The study found that extension training made a tremendous impact on the availability of knowledge and information to women farmers as well as in empowering women’s self-autonomy, improved economic status, decision making role in both farm related and family related matters, reduced Gender Based Violence cases and improved productivity in the community.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.813
Threshold uncertainty score0.131

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.025
GPT teacher head0.270
Teacher spread0.246 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Agriculture Extension and Rural Development StudiesSame topicAgricultural Systems and PracticesFrench-language works237,207