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Record W2130925577 · doi:10.1177/1043454214553708

Constructing the Meaning of Survivor With Former Pediatric Brain Tumor Patients

2014· article· en· W2130925577 on OpenAlexaff
Angela Zwiers, Craig Campbell, Marilyn Evans, Ken Kirkwood

Bibliographic record

VenueJournal of Pediatric Oncology Nursing · 2014
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsWestern UniversityFoothills Medical Centre
Fundersnot available
KeywordsMeaning (existential)Grounded theoryCancer survivorQualitative researchPsychologyConstructivist grounded theoryPerspective (graphical)Meaning-makingInterpretation (philosophy)PopulationDevelopmental psychologySocial psychologyMedicinePsychotherapistSociologyCancerSocial science

Abstract

fetched live from OpenAlex

Although the term survivor is frequently used in cancer discourse, the meaning of survivor and how people identify with this term can be difficult to understand. The purpose of this qualitative study is to explore the meaning of the term survivor from the perspective of young adults who have experienced a pediatric brain tumor (PBT). A constructivist grounded theory was utilized in this study with 6 young adults who had a PBT. This study also used semistructured interviews with participants who also completed reflective journals, which were focused on the survivor concept. Data were analyzed through coding strategies and constant comparative methods. Findings present 4 major themes of process: (a) reviewing the illness experience, (b) qualifying as a survivor, (c) thinking positive, and (d) being changed. These themes are important to consider in the construction, interpretation, and understanding of how the majority of this population do not identify with the current social use of the term survivor. Clearly, there is a need for a clearer understanding of survivor and how it specifically applies to those who have had a PBT. Everyone should remain conscious and consider how a broad, generalizing term such as survivor may influence a person's attitude and advocacy toward their health.

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)0.003
metaresearch head score (Gemma)0.002
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 score0.097
Threshold uncertainty score0.600

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.018
GPT teacher head0.315
Teacher spread0.297 · 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

Citations6
Published2014
Admission routes1
Has abstractyes

Explore more

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