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Record W2027581801 · doi:10.1177/1043454205278035

A Review of Qualitative Research on the Childhood Cancer Experience From the Perspective of Siblings: A Need to Give Them a Voice

2005· review· en· W2027581801 on OpenAlexaff
Krista L. Wilkins, Roberta L. Woodgate

Bibliographic record

VenueJournal of Pediatric Oncology Nursing · 2005
Typereview
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsQualitative researchConceptualizationPerspective (graphical)FeelingContext (archaeology)Research designPsychologySocial psychologySociologySocial science

Abstract

fetched live from OpenAlex

Researchers are increasingly adopting the qualitative research paradigm to study the world of siblings of children with cancer. The purpose of this review article is to identify the contributions of qualitative research in advancing the understanding of the childhood cancer experience from the perspective of siblings. Articles were selected for inclusion if (1) written in English; (2) published in a peer-reviewed journal between 1979 and present or, if a doctoral dissertation, easily accessible to the authors; (4) cited a specific qualitative research design or some type of qualitative research method of data collection and analysis; and (4) involved siblings of children with cancer as sole research participants or as research participants within the context of the family. Twenty-seven qualitative research studies were reviewed. Three themes emerged from an analysis of the primary findings: (1) changing lives, (2) intense feelings, and (3) unmet needs. Limitations in the conceptualization, research design, and research methods of the qualitative studies are discussed. Suggestions that will help researchers in conducting qualitative research with siblings are also presented.

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)0.012
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.357
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
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 head0.356
GPT teacher head0.598
Teacher spread0.241 · 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.

Study designQualitative
Domainnot available
GenreReview

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

Citations185
Published2005
Admission routes1
Has abstractyes

Explore more

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