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Record W2795815076 · doi:10.1177/1357034x18766289

Collapsing the Surfaces of Skin and Photograph in Cosmetic Minimally-Invasive Procedures

2018· article· en· W2795815076 on OpenAlex
Rachel Hurst

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

VenueBody & Society · 2018
Typearticle
Languageen
FieldPsychology
TopicBody Image and Dysmorphia Studies
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsPhotographyNormativeMedicineInvasive surgerySurgeryArtVisual arts

Abstract

fetched live from OpenAlex

This article proposes that cosmetic minimally-invasive procedures – Botox injections, soft-tissue fillers, microdermabrasion, chemical peels and laser treatments – are an under-researched area and provide a number of promising paths for skin studies research. I argue that cosmetic minimally-invasive procedures collapse the difference between the surfaces of the photograph and the skin – the primary surfaces of cosmetic surgery – more successfully than cosmetic surgical procedures. More precisely, I maintain that the difference between photograph and skin is collapsed in two ways: first, through narrating the transformation of the skin’s surface in a way that more closely matches the photographic promises of the cosmetic surgery industry; and, second, by depicting the surgical penetration of the skin through advertising photography. The article concludes by suggesting that further investigation into cosmetic minimally-invasive procedures could offer a new way to think about relationships between ‘normative’ and ‘non-normative’ skin modification practices.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.432
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.016
GPT teacher head0.291
Teacher spread0.275 · 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