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Record W2032863012 · doi:10.1177/1043454208319972

Talking With Others Who “Just Know”: Perceptions of Adolescents With Cancer Who Participate in a Teen Group

2008· article· en· W2032863012 on OpenAlexaff
Jane Cassano, Kim Nagel, Linda O’Mara

Bibliographic record

VenueJournal of Pediatric Oncology Nursing · 2008
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsMcMaster UniversityMcMaster Children's Hospital
Fundersnot available
KeywordsPerceptionPsychologyGroup (periodic table)Social psychologyMedicineDevelopmental psychology

Abstract

fetched live from OpenAlex

Adolescents with cancer have social support needs that are challenging to meet. A qualitative descriptive study was done using in-person interviews with 11 participants between the ages of 14 and 20. The purpose of the study was to explore and describe adolescent's perceptions of a teen support group. Two main themes emerged: Satisfying Elements and Challenges in the teen group. The subthemes under Satisfying Elements include participants being able to talk to others who "just know," sharing experiences while having fun as a normal teenager, and giving or receiving inspiration. Subthemes under Challenges as identified by participants include ensuring that activities during teen events meet the needs of all participants and dealing with the death of a group member. Study findings suggest that adolescent's feel supported when they are among others in similar circumstances while engaging in normal activity. Offering this type of group for adolescents with cancer provides them with the ongoing opportunities for connection with their peers that is often needed throughout the treatment journey.

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 score0.016
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.038
GPT teacher head0.365
Teacher spread0.327 · 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

Citations71
Published2008
Admission routes1
Has abstractyes

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