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Record W2766150463 · doi:10.14595/pes/04/003

Wykształcenie konsumentów żywności ekologicznej z województwa podkarpackiego a czynniki wpływające na jej zakup

2017· article· pl· W2766150463 on OpenAlexaboutno aff
Ryszard Dziekan, Magdalena Konieczny

Bibliographic record

VenueProgress in Economic Sciences · 2017
Typearticle
Languagepl
FieldSocial Sciences
TopicAgricultural economics and policies
Canadian institutionsnot available
Fundersnot available
KeywordsPurchasingVocational educationQuarter (Canadian coin)BusinessMarketingAgricultural scienceAgricultural economicsFood productsAgribusinessFood scienceAgricultureEconomic growthEconomicsGeographyEnvironmental scienceChemistry

Abstract

fetched live from OpenAlex

The study attempts to define factors impacting the choice of organic food by consumers from the Podkarpackie province, depending on their level of education. To this end, a survey was conducted in the Podkarpackie province in the second quarter of 2015. It involved 308 organic food consumers. It was found that consumers with university education more often paid attention to food safety and were more open to new products. However, consumers with secondary education had been purchasing organic food for the longest period of time. The highest percentage of respondents with vocational education bought this kind of food at least once week, spending more than PLN 201 a month on it. The opinion that it was necessary to introduce new products to the existing range of organic food prevailed in this group of respondents. High price was the most common barrier to the purchase of organic food.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.217
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0060.010
Scholarly communication0.0040.002
Open science0.0050.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.068
GPT teacher head0.376
Teacher spread0.308 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2017
Admission routes1
Has abstractyes

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