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Record W2055299257 · doi:10.1002/cncr.22108

Support and intervention groups for adolescents with cancer in two Ontario communities

2006· article· en· W2055299257 on OpenAlexaffabout
Maru Barrera, Sheila Damore-Petingola, Carly Fleming, Judy Mayer

Bibliographic record

VenueCancer · 2006
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsHospital for Sick ChildrenSudbury Regional HospitalSickKids FoundationUniversity of Toronto
Fundersnot available
KeywordsPsychosocialContext (archaeology)Intervention (counseling)MedicineRural areaGerontologyFamily medicineNursingPsychiatryGeography

Abstract

fetched live from OpenAlex

Adolescents who are treated for cancer must learn to negotiate challenging developmental tasks in the context of their treatment and adverse effects. Adverse affects of disease and treatment may prevent some of these adolescents from achieving full psychosocial development. Two programs developed independently to address the psychosocial and unique contextual needs of adolescents and young adults from different geographic regions in Ontario, Central urban and Northeastern rural, are described. The program in the urban area consists of eight 2-h sessions that combined structured creative activities and informal discussions of issues generated by adolescents; it includes a pre- post- intervention evaluation with standardized questionnaires. The Northeastern rural program consists of a monthly support open group that encourages sharing personal experiences and an annual expressive art retreat; both components include informal evaluation. Formal evaluation of these programs is in progress. Informal feedback from participants and parents suggest positive effects. These distinct and unique programs continue to evolve, as they address the unique psychosocial needs of adolescents and young adults in urban and rural areas.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.331
Threshold uncertainty score0.666

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0100.002
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0010.001
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 head0.031
GPT teacher head0.339
Teacher spread0.308 · 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 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

Citations18
Published2006
Admission routes2
Has abstractyes

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