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Record W3087285133

Certification of Organic Products by Farmers in Sri Lanka

2020· article· en· W3087285133 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

VenueBulgarian Portal for Open Science · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicOrganic Food and Agriculture
Canadian institutionsnot available
FundersSabaragamuwa University of Sri Lanka
KeywordsSri lankaCertificationBusinessEnvironmental planningEnvironmental scienceTanzaniaEconomicsManagement
DOInot available

Abstract

fetched live from OpenAlex

Similar to some other countries, the lack of proper certification systems creates significant problems in identifying real organic products in Sri Lanka as well. Therefore, the present study aims to investigate the current situation of organic certifications used by farmers in two selected districts of the country which are having high potentials for organic agriculture. Initially, a literature review was conducted to find out the present situation of organic product certification in the world and in Sri Lanka. This was followed by a field survey conducted from March 2017 to December 2018 using 300 randomly selected farmers. The data were analyzed by descriptive statistics. According to the literature review findings, some developed countries such as USA, Canada, New Zealand and Australia etc. carry out organic certifications in a well-organized manner. Meanwhile, seven international organic certification agencies are operating mainly for export products in Sri Lanka. However, currently only four certification systems are functioning for the local market products. As per the field survey findings, out of four, only two certification systems are used in these areas. While few farmers (2.3%) use the “Participatory Guarantee System” (PGS) and very few farmers (1.3%) use “SriCert” certification. However,most farmers (49.7%) are willing to shift towards organic agriculture and adopt organic certifications in future. Challenges such as the doubt about a reduction in harvest and income from organic farming, lack of market opportunities for organic products, low level of awareness of certification process, high cost and complexity of certification process are acting as barriers. Therefore, the development of user-friendly certification procedures and awareness programs for the potential farmers and initiating marketing facilities for certified organic products will motivate farmers towards the certification of organic products.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.222
Threshold uncertainty score0.235

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.031
GPT teacher head0.241
Teacher spread0.210 · 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