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Record W2117501573 · doi:10.5539/jas.v5n1p241

An Analysis of Oilseeds and Pulses Scenario in Eastern India during 2050-51

2012· article· en· W2117501573 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.

venuePublished in a venue whose home country is Canada.
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

VenueJournal of Agricultural Science · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Economics and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsProduction (economics)CroppingProductivityConsumption (sociology)IntercroppingAgricultural economicsFood securityCash cropAgricultureGeographyAgricultural scienceEconomicsEnvironmental scienceAgronomyEconomic growthBiologySociology

Abstract

fetched live from OpenAlex

India is no longer dependent on other land produce especially with respect to food grains, thanks goes to policy planner researcher and the most to our farmers who make this dream to happen in our life time. We have to have worked hard systematically to prove our credential with regards to oilseeds and pulses. India is the world leader in production, consumption and import as well in case of pulses and not for behind in vegetable oils. India imports 2-3 Mt of pulses on regular basis and 9.2 Mt of vegetable oils during 2010-11.Currently India is in the mid-way of self-sustaining in oilseeds and pulses production. By the 2050, India as a whole will be able to sustain their production. Indian will produced plenty with respect to both the non-food commodity i.e. oilseeds and pulses. India may emerged as net exporter from being net importer for century the with respect to oilseed, and most probably for pulses also. Keeping in mind the socio-political situation and poor land to man ratio in eastern region the likelihood for oilseeds and pulses is not at all in bad shape. Inclusion of soybean and summer sesamum as oilseeds crop, nonconventional legume like faba bean and cowpea and summer mungbean in irrigated condition, cropping system approach especially intercropping are one of few options for horizontal expansion coupled with several technologies niche for vertical acceleration of production and productivity.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.393
Threshold uncertainty score0.223

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.003
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 head0.016
GPT teacher head0.240
Teacher spread0.225 · 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