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Record W2006518898 · doi:10.3109/01460862.2011.557905

My Child has Cancer: Finding the Silver Lining in Every Mother's Nightmare

2011· article· en· W2006518898 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIssues in Comprehensive Pediatric Nursing · 2011
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsNightmareLived experienceExploratory researchChildhood cancerPediatric cancerPsychologyMedicineNursingCancerFamily medicinePsychiatryPsychotherapistSociology

Abstract

fetched live from OpenAlex

Having a child with cancer is one of the most taxing experiences a family can endure. With that in mind, the primary objective of this research was to explore the lived experiences of mothers of children with pediatric cancer during diagnosis, treatment, and the period thereafter. The specific purpose of this article however, was to examine the benefits or positives that emerged from the experience. One-on-one and e-mail semi-structured interviews were completed with 9 mothers of children treated for pediatric cancer. Four of the children had passed away from their illnesses. The subthemes derived for the benefits of the mothers' experiences consisted of: (1) support: importance of family and friends; (2) when life gives you lemons; and (3) finding the silver lining. It is anticipated that the findings from this exploratory research will be used as a source of support for individuals in similar situations and for front-line health care professionals.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.090
GPT teacher head0.358
Teacher spread0.267 · 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