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Record W3133460224 · doi:10.1002/mar.21463

Extending Diderot unities: How cosmetic surgery changes consumption

2021· article· en· W3133460224 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePsychology and Marketing · 2021
Typearticle
Languageen
FieldPsychology
TopicBody Image and Dysmorphia Studies
Canadian institutionsYork University
Fundersnot available
KeywordsTransformative learningConsumption (sociology)Object (grammar)AestheticsPsychologyAffect (linguistics)SelfSocial psychologySociologyComputer scienceArtCommunicationDevelopmental psychologyArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract Consumers engage in transformative practices such as cosmetic surgery to shape a new self that satisfies personal and social expectations. Yet, we lack an understanding of how cosmetic surgery and the consequent changes to a consumer's self affect their consumption practices. Building on Diderot unities we explore how cosmetic surgery influenced consumption practices of 10 female consumers postcosmetic surgery. Prior work on Diderot unities suggests that it is a new object inspiring the consumption of additional objects. Extending the notion of Diderot unities, we posit that also a new self brings changes in the constellation of consumption objects. Specifically, cosmetic surgery, the self, and material consumption practices are tied together by an expanded view of Diderot unities as not only involving people and objects, but also adding experiences. A newly surgically enhanced person perceives an imbalance between the assemblage of their self and self‐expressive objects. This imbalance sets off a series of purchases to restore balance by acquiring possessions and experiences that match their new magnificent self. Purchases extend to areas such as fashion objects, grooming objects and experiences, as well as experiences related to personal well‐being, vacation and leisure.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score0.999

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.087
GPT teacher head0.350
Teacher spread0.263 · 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