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Record W2507965396 · doi:10.5430/ijba.v7n5p36

Socially Responsible Consumer Behavior: The Case of Organic Food in Sonora, Mexico

2016· article· en· W2507965396 on OpenAlexvenueno aff
Carlos G. Palafox, Joel Espejel, Dulce S. Elizande, Melissa F. Leon

Bibliographic record

VenueInternational Journal of Business Administration · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsnot available
Fundersnot available
KeywordsConsumption (sociology)PurchasingConsumer behaviourDescriptive statisticsMarketingBusinessSocial responsibilityTest (biology)Environmentally friendlyAdvertisingSociologySocial sciencePolitical science

Abstract

fetched live from OpenAlex

The main objective of this investigation is to analyze and evaluate the Socially Responsible Consumer (SRC) in the cities of Hermosillo and Obregón, Sonora, Mexico. We wanted to identify their purchasing, consumption and attitude profiles. To respond to the stated objective, 278 questionnaires were applied, 183 were applied to consumers in Hermosillo and the remaining 95 to consumers in Obregon city. For the statistical analysis of the data the chi-squared test (Xi2) was used to establish descriptive and bivariate comparisons of the results. It was learned that the young consumers of these cities have no knowledge about Socially Responsible Consumption; moreover, consumers do not feel inclined to buy organic food or environmentally friendly products, neither do they search for products that benefit their finances and environment or otherwise cause the least negative possible impact. Therefore, it is essential that educational comprehensive programs for strengthening responsible consumption and care for the planet be designed in the face of globalization.

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)0.001
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 score0.135
Threshold uncertainty score0.360

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.000
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 head0.017
GPT teacher head0.263
Teacher spread0.246 · 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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