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Record W2116827972 · doi:10.18174/121643

Getting genes: Rethinking seed system analysis and reform for sorghum in Ethiopia

2005· dissertation· en· W2116827972 on OpenAlexfundno aff
Shawn McGuire

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsnot available
FundersHaramaya UniversityPromotion and Mutual Aid Corporation for Private Schools of JapanSantenInternational Center for Agricultural Research in the Dry AreasInternational Fine Particle Research InstituteIowa State UniversityIris O'Brien FoundationCanadian Institute for Advanced ResearchConsortium of International Agricultural Research CentersStyrelsen för Internationellt UtvecklingssamarbeteInternational Development Research CentreUnited States Agency for International Development
KeywordsCitizen journalismPsychological interventionAgricultureContext (archaeology)Resource (disambiguation)Agricultural extensionFormal systemBusinessEnvironmental resource managementEnvironmental planningPolitical scienceGeographyEconomicsEcologyBiology

Abstract

fetched live from OpenAlex

Crop improvement and seed supply are central activities in agricultural development. Many interventions have sought to involve farmers more closely in crop development and seed supply, to improve the effectiveness of plant science, enhance biodiversity conservation, or empower farmers, with Participatory Plant Breeding' (PPB) being the most recent strategy for reform. However, there is little critical analysis of the existing technical and institutional practices of formal systems, and almost no knowledge at all of farmers' own strategies for accessing and using crop genetic resources. For these reasons, interventions risk being mis-directed. Moreover, without a broad analysis of institutions and policies, interventions may result lead to only temporary change, at best. This research analyses both farmer and formal seed systems for sorghum inEthiopia, identifying the specific challenges they face, set in historical, social, and institutional context. This is rarely done in discussions of reform, and suggests different that different types of interventions are needed than usually promoted by PPB, or other participatory reforms. Using practice and path-dependency as analytical starting points, this thesis explores the history, policies, key decisions, and institutional cultures in formal breeding and seed supply. Farmers own genetic resource management was directly observed in two communities, using both qualitative and quantitative approaches to explore social relations in seed exchange, seed storage and selection, and pathways of innovation. This broad scaled-approach highlighted how biological and social process interact in genetic resource management, particularly around the institutional forces shaping formal seed system practices, and the importance of social relationships in securing access to seed and germplasm in farmer seed systems. Analysing both seed systems together in this inter-disciplinary fashion offers fresh insights into seed system reform, and highlights key challenges, particularly in relation to securing access to seed and information, appropriate scale of work, and institutional barriers to change.

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)0.008
metaresearch head score (Gemma)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.001
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 head0.014
GPT teacher head0.231
Teacher spread0.217 · 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

Citations49
Published2005
Admission routes1
Has abstractyes

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