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Record W7053603346

Value chain discovery of Canadian participatory plant breeders

2023· dissertation· en· W7053603346 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2023
Typedissertation
Languageen
FieldEngineering
TopicMagneto-Optical Properties and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipCommercializationCitizen journalismDeliverableParticipatory action researchVariety (cybernetics)AgricultureValue (mathematics)DecentralizationPlan (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

Participatory Plant Breeding (PPB) is an approach to plant breeding for agriculture that puts farmers in the driver’s seat of variety development, with implications for farmer empowerment, decentralization of power in agriculture, and climate change. The University of Manitoba Participatory Plant Breeding Program (in partnership with the Bauta Family Initiative on Canadian Seed Security) has developed farmer crops to the point that they are starting to be commercialized, but questions remain about the socio-economic landscape that these participatory crops will enter. Who will buy them? Why? What barriers will they encounter in entering the market? This exploratory research endeavoured to answer these questions by investigating the value chains of participant farmers – the material path that their crops follow from farmer to eater, the various actors along this chain, and the socio-economic orientation of these actors. It did this through semi-structured interviews and, as a practicum, produced a series of deliverables. An Integrated Project Plan that structured the investigation was developed with project partners and the study indicated the current state of commercial development as well as practical considerations for the continued commercialization of PPB cultivars. Interview data was coded based on broad categories derived from the literature, conversations with project partners, and emergent themes from interviews. Coded content was then used to create detailed farmer profiles and a summary document of the research. Project deliverables included the development of a background report on PPB and commercialization, a summary report of the data including brief case summaries for each farmer, and then detailed farmer profiles. Farmer profiles uncovered the complexity and variety of farmers’ agro-economic contexts, while the summary report demonstrated common patterns in participants’ current value chains, the PPB commercialization prospects within these chains, and the barriers facing commercialization – both institutional and on-farm. Results indicate that PPB commercialization is entirely possible, but must be approached strategically, and in a different way than conventional variety development.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.730
Threshold uncertainty score0.759

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.188
Teacher spread0.163 · 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 designNot applicable
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

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