Smallholder seed practices : maize seed management in the Central Valleys of Oaxaca, Mexico
Bibliographic record
Abstract
This research aims to contribute to an increased understanding of what is commonly referred to as 'local seed systems', 'farmer seed systems' or 'informal seed systems', both in relation to seed supply for agricultural production and in relation to the conservation of important crop genetic diversity. Within a general understanding of seed as an essential input for agricultural production, as well as a fundamental source of germplasm for crop improvement, this study offers a detailed analysis of smallholder maize seed practices among traditional farmers in the Central Valleys of Oaxaca, Mexico, a centre of maize genetic diversity.Using an actor-oriented approach as the point of departure, a series of aspects related to local maize seed management and transactions are examined and discussed, includingFarmers' seed practices as a form of local knowledge;The role of collective action in relation to crop genetic diversity conservation and seed supply at the local level;The social organization of seed supply; andFarmers' transaction costs in relation to seed acquisition.The study shows that smallholder maize seed practices in the Central Valleys of Oaxaca are complex and dynamic, spanning both conservation and innovation aspects. Local concepts relating to maize and maize seed practices are often flexible and negotiable, and small-scale experimentation in search of knowledge and practical solutions is an integral part of farming. The applications and dynamics that make up local maize seed practices in the study area appear to be negotiated on the basis of a set of shared views and conditions, which in themselves are based on the agro-ecological, cultural, and social environments in which these farmers operate.While each section of the book analyses a different problematic, shedding light on a particular aspect of local seed dynamics in the study area, together they complement each other and provide a basis for a deeper understanding of farmers' seed practices in the Central Valleys of Oaxaca. This in turn contributes to an improved understanding of local seed practices in a broader perspective and emphasizes the challenge for agricultural research of achieving synergies with local knowledge as the major driving force in local development processes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".