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Record W4312369320 · doi:10.14453/aabfj.v16i3.07

Theories of Delinquency and Deviance Applied to Consumption

2022· article· en· W4312369320 on OpenAlexaff
Sue L. T. McGregor

Bibliographic record

VenueAustralasian Accounting Business and Finance Journal · 2022
Typearticle
Languageen
FieldDecision Sciences
TopicEthics in Business and Education
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsDeviance (statistics)Juvenile delinquencyAnomieOperationalizationPhenomenonSocial psychologyPsychologyEmpirical researchCriminologyPositive economicsSociologyEpistemologyEconomicsComputer science

Abstract

fetched live from OpenAlex

As aspects of ethical and moral consumption, this paper is concerned with gaining deeper insights into how people could possibly react to being judged and then labeled delinquent and deviant consumers (i.e., falling short of or neglecting to fulfill their duty to others, other species, and the Earth). To that end, theories of delinquency (rational choice, strain, anomie, social processes, subculture, and differential opportunity) and Henry and Eaton’s six degrees of deviance approach were employed to conceptualize this phenomenon. Each theory and degree of deviance is explained and then paired with a consumer example to illustrate its relevance in offering insights into people’s possible reactions to being judged and labelled delinquent and deviant consumers. Future researchers are encouraged to operationalize the ideas contained herein to see if they have empirical and theoretical merit.

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)0.003
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 score0.331
Threshold uncertainty score0.661

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.089
GPT teacher head0.362
Teacher spread0.273 · 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
Published2022
Admission routes1
Has abstractyes

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