MétaCan
Menu
Back to cohort
Record W4380318662 · doi:10.1093/jcr/ucad032

Morality Appraisals in Consumer Responsibilization

2023· article· en· W4380318662 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Consumer Research · 2023
Typearticle
Languageen
FieldNeuroscience
TopicFree Will and Agency
Canadian institutionsnot available
FundersConcordia UniversityYork UniversityUniversity of Connecticut
KeywordsEntitlement (fair division)MoralityConsequentialismSet (abstract data type)Political scienceLaw and economicsSocial psychologyPsychologySociologyLawEconomics

Abstract

fetched live from OpenAlex

Abstract In recent decades, U.S. gun rights lobbying groups, politicians, courts, and market actors have sought to responsibilize U.S. consumers to use firearms to address the societal problem of crime. These efforts center an interpretation of the constitutional right to keep and bear arms guaranteed by the Second Amendment as an entitlement for individuals to practice armed self-defense. Using interview and online discussion data, this research investigates consumers’ responses to responsibilization for this morally fraught set of behaviors, and the role of consumers’ various understandings of the right to bear arms in these responses. Findings show that consumers consider multiple, specific armed protection scenarios and accept responsibilization in only a portion of these scenarios while rejecting it for the remainder. Acceptance is determined by their appraisals of the morality of consumer responsibilization subprocesses. Consumers’ understanding of the constitutional right serves as a heuristic in these appraisals, with some understandings leading consumers to accept responsibilization across a much larger proportion of scenarios than others. Contributions include illustrating response to consumer responsibilization as a proportionality; illuminating consumers’ active role in appraising responsibilizing efforts; and demonstrating how some consumers come to understand a responsibilized behavior as a moral entitlement.

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.

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)0.006
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.354
GPT teacher head0.488
Teacher spread0.135 · 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