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Record W2127773074

Characterization of red rice (Oryza sativa) varieties developed under on-farm dynamic management on Bohol, Philippines

2005· article· en· W2127773074 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSocio-Environmental Systems Modeling · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Systems and Practices
Canadian institutionsnot available
FundersUniversity of the PhilippinesInternational Development Research CentreStyrelsen för Internationellt Utvecklingssamarbete
KeywordsAgricultureAgroforestryGeographyCropGreen RevolutionBusinessBiotechnologyAgronomyBiology
DOInot available

Abstract

fetched live from OpenAlex

Farmer selection and breeding of local varieties are still practiced in many farming systems and are regarded as important components of on-farm dynamic conservation of plant genetic resources (Bretting and Duvick 1997). The farming system on Bohol, an island province of the Philippines, is comprised of mostly smallto medium-sized irrigated farms that combine both traditional and modern methods of cultivation under a wide range of ecological and soil conditions. Rice is the major food crop in Bohol. As a result of the Green Revolution, many traditional varieties were replaced with modern varieties during the 1970s. Nevertheless, local farmers are still involved in the improvement of available varieties and the development of new ones in order to meet the local agro-ecological conditions, their preferences and needs, and new market opportunities.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.943
Threshold uncertainty score0.493

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 head0.024
GPT teacher head0.218
Teacher spread0.193 · 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