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Record W2887360805 · doi:10.1097/nur.0000000000000397

Taking Lemons and Making Lemonade

2018· article· en· W2887360805 on OpenAlexaff
Monica L. Molinaro, Paula C. Fletcher

Bibliographic record

VenueClinical Nurse Specialist · 2018
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsWilfrid Laurier UniversityWestern University
Fundersnot available
KeywordsMEDLINEBusinessComputer sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

PURPOSE: The purpose of this study was to examine the lived experiences of the perceived long-term effects of pediatric cancer on adult survivors and whether these effects had bearing on their primary support persons. DESIGN: This work was guided by van Manen's "new" interpretive phenomenology. METHODS: Ten survivors of pediatric cancer (aged 21-28 years) and 9 of their support persons (aged 23-73 years) were recruited. Background questionnaires were administered, and interviews were conducted. Field notes were collected, and member checks were administered for data credibility. RESULTS: A total of 4 themes emerged from this work; however, only the theme discussing posttraumatic growth will be discussed. Posttraumatic growth manifested in different ways, such as motivation for career or schooling choices, doing charity work, working with cancer organizations, or mentoring children undergoing pediatric cancer treatment. CONCLUSIONS: This work may provide comfort to other individuals with pediatric cancer knowing that they are not alone in their journeys. Healthcare providers should attempt to make pediatric cancer experiences as "normal" as possible for patients and their families and observe for signs of stress in their patients. As well, it is important for the pediatric cancer literature to illustrate that young adult survivors of pediatric cancer find positive outcomes in their experiences.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.110
GPT teacher head0.459
Teacher spread0.349 · 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 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

Citations14
Published2018
Admission routes1
Has abstractyes

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