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Record W2124699424

Marketing cost and marketing margin of wheat in Durg district of Chhattisgarh

2014· article· en· W2124699424 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueINTERNATIONAL JOURNAL OF AGRICULTURAL SCIENCES · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Economics and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Margin (machine learning)Agricultural scienceGross marginBusinessAgricultureMarketingMarketing channelWork (physics)MathematicsEngineeringGeographyBiology
DOInot available

Abstract

fetched live from OpenAlex

An attempt has been made in this paper to examine the marketing cost and marketing margin of wheat in Durg district of Chhattisgarh state. The study was conducted in Durg district of Chhattisgarh state with forty farmers who were selected randomly from four villages and 10 wheat growers from each of the selected village considered to collect the required information. The primary data were collected from the wheat producers through personal interview method with the help of well prepare scheduled and questionnaire for the production and marketing year 2010-11. The simple mean and average method was used to work out the marketing cost and marketing margins in wheat trade. It was observed that farmers sale their produce to village traders 17.67 per cent and 3.12 per cent during the first and second quarter, respectively. The quantity sale to the wholesaler was observed as 33.08 per cent and 46.13 per cent in first quarter and second quarter, respectively. The marketing cost computed as Rs.5, Rs.19.90 and Rs. 61.40 per quintal in channel-I while it was observed as Rs. 17.18 and 61.40 per quintal in channel-II. Whereas the net marketing margin was computed as Rs.991, Rs. 64.10 and Rs.88.60 per quintal in channel-I while it was observed as Rs. 1055.82 and 95.62 per quintal in channel-II.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.572
Threshold uncertainty score0.156

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 spread0.224 · 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