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Record W4214555617 · doi:10.1111/nuf.12714

Unveiling beauty: Insight into being tattooed postmastectomy

2022· article· en· W4214555617 on OpenAlexaff
Victoria Reid‐de Jong

Bibliographic record

VenueNursing Forum · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicTattoo and Body Piercing Complications
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMastectomyFeelingBreast reconstructionBreast cancerBeautyRepresentation (politics)MedicineHermeneuticsHealth carePower (physics)AestheticsPsychologyCancerSocial psychologyArtInternal medicinePhilosophyEpistemologyPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: It could be argued that mastectomy tattoos are being considered by some women in contemporary society as an alternative to breast reconstruction. AIM: To gain insight into the experience of "being" tattooed where breast(s) once occupied space, six women with mastectomy tattoos were interviewed. METHODOLOGY: The teachings of Gadamer's philosophical hermeneutics were engaged to better understand what it means "to be" tattooed postmastectomy. RESULTS AND DISCUSSION: Discoveries include feeling sad and damaged postmastectomy, embodying the tattoo as a novel representation of self for women living without breast(s), and reclaiming power, control, and confidence in a way that is symbolically meaningful. CONCLUSION: Health care providers working with women diagnosed with breast cancer are invited to learn from women with mastectomy tattoos and to consider expanding discourse about care to include options beyond breast reconstruction.

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)0.006
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 score0.007
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.016
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.321
Teacher spread0.301 · 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

Citations9
Published2022
Admission routes1
Has abstractyes

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