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Record W2130365743 · doi:10.46743/2160-3715/2011.1115

Modifying the Body: Canadian Men's Perspectives on Appearance and Cosmetic Surgery

2014· article· en· W2130365743 on OpenAlexaffabout
Rosemary Ricciardelli, Philip White

Bibliographic record

VenueThe Qualitative Report · 2014
Typearticle
Languageen
FieldPsychology
TopicBody Image and Dysmorphia Studies
Canadian institutionsMcMaster UniversityYork University
Fundersnot available
KeywordsMasculinityPostmodernismScholarshipIdentity (music)Gender studiesAestheticsSociologyPerspective (graphical)PsychologyPsychoanalysisArtLawLiteraturePolitical scienceVisual arts

Abstract

fetched live from OpenAlex

In postmodern scholarship there has been a temporal shift to thinking of the body as malleable rather than fixed, which has opened space for the remaking of the self via the remaking of the body (Featherstone, 1991; Giddens, 1991). Among men, this process is thought to interact with shifting understandings of masculinity. In this study, 14 interviews were conducted to investigate experiences of masculinity, physical appearance and cosmetic surgery among Canadian men who had undergone or were contemplating cosmetic surgery. Responses suggest that bodily presentations and experiences of masculinity continue to influence how people feel about themselves and their perspective toward cosmetic surgery. Findings are discussed in relation to contemporary constructions of masculinity, body, and identity.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.486

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0350.020
Scholarly communication0.0060.002
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.100
GPT teacher head0.436
Teacher spread0.336 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations23
Published2014
Admission routes2
Has abstractyes

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