MétaCan
Menu
Back to cohort
Record W2904771591 · doi:10.1093/jcr/ucy081

The Body as (Another) Place: Producing Embodied Heterotopias Through Tattooing

2018· article· en· W2904771591 on OpenAlexaff
Dominique Roux, Russell W. Belk

Bibliographic record

VenueJournal of Consumer Research · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicTattoo and Body Piercing Complications
Canadian institutionsYork University
Fundersnot available
KeywordsEmbodied cognitionConceptualizationPhenomenology (philosophy)AestheticsExistentialismSociologyHeterotopia (medicine)EpistemologyArtPhilosophy

Abstract

fetched live from OpenAlex

Abstract While previous research has mobilized sociological and psychological readings of the body, this study considers it ontologically as the ultimate place we must live in, with no escape possible. A phenomenological framework and a four-year, multimethod, qualitative study of tattoo recipients and tattooists substantiates the conceptualization of the body as a threefold articulation: an inescapable place (topia), the source of utopias arising from fleeting trajectories between here and elsewhere, and the “embodied heterotopia” that it becomes when people rework their bodies as a better place to inhabit. We show how tattooed bodies are spatially conceived as a topia through their topographies, territories, landscapes, and limits. We then highlight how this creates a dynamic interplay between past, present, and future, resulting in utopian dreams of beautification, escape, conjuration, and immutability. Finally, we show how tattooees produce embodied heterotopias, namely other places that both mirror and compensate for their ontological entrapment. In considering the body as a place, our framework enriches phenomenological and existential approaches to self-transformation in contemporary consumption.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.019
Scholarly communication0.0040.004
Open science0.0000.006
Research integrity0.0010.002
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 head0.149
GPT teacher head0.478
Teacher spread0.329 · 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

Citations85
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Consumer ResearchSame topicTattoo and Body Piercing ComplicationsFrench-language works237,207