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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 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)0.001
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 score0.046
Threshold uncertainty score0.571

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.353
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 teacher head, not a consensus.

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

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