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Record W2550128447 · doi:10.17306/jard.2016.36

DETERMINANTS OF CHOICE OF ECOLOGICAL FOOD ACCORDING TO CONSUMERS FROM THE PODKARPACKIE VOIVODESHIP

2016· article· en· W2550128447 on OpenAlexaboutno aff
Magdalena Konieczny, Ryszard Dziekan

Bibliographic record

VenueJournal of Agribusiness and Rural Development · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicOrganic Food and Agriculture
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessMarketingPurchasingQuarter (Canadian coin)PreferenceFood productsTasteOrganic productAgricultural scienceAgricultural economicsFood scienceGeographyEconomicsAgricultureEnvironmental science

Abstract

fetched live from OpenAlex

The aim of this study was to identify the determinants of the choice of organic foods in the opinion of consumers of the Podkarpackie Voivodship. The study was conducted in the second quarter of 2015 by the means of a questionnaire. The subjects of the research were 308 consumers of organic food in Podkarpackie Voivodship. It was discovered that the consumers perceive organic food as an element of the food category that guarantees health security and excellent taste. Despite the desire to buy such food, the consumers who are supplying themselves with organic products think that the range of products available on the market is insufficient. A very high percentage of the respondents indicated a preference for purchasing food produced in their own country, preferably in their own region, and buying directly from a manufacturer. More than a third of the respondents, especially under 35 years old, is supplying themselves with organic products in specialist stores and supermarkets. The primary barrier in buying organic foods is its too high price.

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.

How this classification was reachedexpand

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.643
Threshold uncertainty score0.109

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 head0.021
GPT teacher head0.220
Teacher spread0.198 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2016
Admission routes1
Has abstractyes

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