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Record W4394931683 · doi:10.1002/csr.2817

Recreational marijuana: Ethical positions and consumption status in explaining attitudes, perceived law ethicalness, and perceived corporate social responsibility

2024· article· en· W4394931683 on OpenAlexaff
Nizar Souiden

Bibliographic record

VenueCorporate Social Responsibility and Environmental Management · 2024
Typearticle
Languageen
FieldDecision Sciences
TopicEthics in Business and Education
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsLegalizationRecreationConsumption (sociology)AmenityCorporate social responsibilitySocial psychologyStructural equation modelingPsychologyPerceptionSocial responsibilityPolitical scienceSociologyPublic relationsLawSocial science

Abstract

fetched live from OpenAlex

Abstract Drawing from the Ethics Position theory and the Theory of Planned Behavior, this study was conducted with a comprehensive four‐part goal. It seeks to explore the moderating influences of the consumption status and ethical positions in elucidating (i) individuals' attitude toward recreational marijuana consumption, (ii) individuals' perceived ethical stance regarding recreational marijuana legalization, (iii) individuals' CSR perception of firms operating within the marijuana industry often deemed as morally contentious, and (iv) the interrelationships among the aforementioned variables. Based on a sample of 411 Canadians and two grouping variables, ANOVA tests and a structural Equation Modeling were used to test the research hypotheses. The results show that individuals' attitudes toward the consumption of marijuana, perceived ethicalness of legalizing it, and perceived CSR significantly vary across the three groups of consumption status (i.e., non‐consumer, occasional, and regular) and the four groups of ethical positions (i.e., absolutism, exceptionism, situationism, and subjectivism). The SEM results, however, show that, except for a few cases, there were no notable variations in the model's path coefficients among the identified groups. This study has intriguing implications for academicians, practitioners, politicians, managers, social welfare activists, and other stakeholders.

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.524
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.194
GPT teacher head0.389
Teacher spread0.194 · 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.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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