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The “F-Words” in Pediatric Oncology: Improving Pediatric Cancer Care Through Innovative Thinking and Rehabilitation for Optimal Quality of Life

2024· article· en· W4404403560 on OpenAlex
Marilyn Wright, Jan Willem Gorter

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

VenueRehabilitation Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsMcMaster UniversityHamilton Health SciencesMcMaster Children's Hospital
Fundersnot available
KeywordsPediatric oncologyRehabilitationMedicineQuality (philosophy)Quality of life (healthcare)CancerPediatric cancerMedical physicsOncologyIntensive care medicineInternal medicinePhysical therapyNursing

Abstract

fetched live from OpenAlex

Conceptual frameworks inform and advance clinical practice, research, and education. The “F-words for child development” is a child/youth/family friendly model that embeds the words fitness, functioning, family, friends, fun, and future into the International Classification of Functioning, Disability and Health (ICF). This perspectives paper explores how the concepts and use of the F-words for child development are conducive to the practice of pediatric oncology rehabilitation and promotion of quality of life of children and their families. Pediatric oncology rehabilitation is explored in the context of the ICF and F-words through a review of relevant literature, clinical expertise, and child/youth/family perspectives. The F-words framework is congruent with recognized rehabilitation strategies, preferences, and best practices during and after treatment for cancer in children and youth. The concepts can be used to promote the engagement, health, well-being, and quality of life of children/youth and their families.

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)0.005
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.337
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.014
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 head0.031
GPT teacher head0.409
Teacher spread0.378 · 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