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Record W1976908775 · doi:10.1177/1043454206289756

Changes in Body Image Experienced by Adolescents With Cancer

2006· article· en· W1976908775 on OpenAlexaff
Sandie Larouche, Lily Chin-Peuckert

Bibliographic record

VenueJournal of Pediatric Oncology Nursing · 2006
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsMcGill UniversityMontreal Children's HospitalJewish General Hospital
Fundersnot available
KeywordsImage (mathematics)MedicinePsychologyComputer scienceComputer vision

Abstract

fetched live from OpenAlex

Cancer and its treatments affect adolescents' body image. However, it is not known what factors impinge on adolescents' perception of their body image. This multiple case study explored how 5 adolescents with cancer perceived their body image and the impact of this perception on their daily life. Adolescents described their body image as "I don't look normal," a theme that comprised 2 dimensions: "I look ugly" and "I look sick." For the adolescent with cancer, these 2 dimensions evoked feelings of being vulnerably exposed: "People look at me." Consequently, adolescents adopted a new set of coping strategies to help them manage their physical appearance and social interactions: "avoiding," "maintaining normality," "testing the waters," and "peer-shield" themes. Although the adolescents perceived their body image as altered, coping mechanisms enabled adolescents to think of themselves as normal and re-establish their social lives. The results of this small study suggest 2 potential nursing approaches to facilitate adolescents' adaptation to their new body image.

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)0.000
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.016
GPT teacher head0.353
Teacher spread0.338 · 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

Citations142
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Pediatric Oncology NursingSame topicChildhood Cancer Survivors' Quality of LifeFrench-language works237,207