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Crianças com câncer e suas famílias

2005· review· pt· W1608918474 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

VenueRevista da Escola de Enfermagem da USP · 2005
Typereview
Languagept
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsCoping (psychology)DiseaseNursingData collectionNursing carePsychologyNursing researchAdaptation (eye)MedicinePsychiatrySociologySocial science

Abstract

fetched live from OpenAlex

This study is aimed at reviewing the existing literature about children with cancer and their families in order to identify themes that have been researched and to survey indicators of need, thus giving subsidies for the systematization of nursing care. Systemized data collection was carried out in computerized databases between 1997 and 2002 using the keywords child, cancer, chronic illness/disease, family and nursing. A non-systemized research of scientific publications was also carried out. Results are grouped in three themes: impact of the child's cancer on the family system; adaptation process and coping strategies used by the parents in the face of the illness; and the process of loss and mourning in view of the child's death. The review demonstrated that nursing is constructing specific knowledge about the individual, cultural and regional needs of families of children with cancer, with a view to a nursing assistance that considers care in accordance to the singularity of each case.

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.668
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0110.004
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0030.001
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0120.011

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 head0.118
GPT teacher head0.413
Teacher spread0.295 · 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