MétaCan
Menu
Back to cohort
Record W2772821198 · doi:10.1590/0034-7167-2016-0671

Care provided by the father to the child with cancer under the influence of masculinities: qualitative meta-synthesis

2017· review· en· W2772821198 on OpenAlexaff
Naiara Barros Polita, Willyane de Andrade Alvarenga, Ana Carolina Andrade Biaggi Leite, Jeferson Santos Araújo, Louise Bittencourt Paes Abreu dos Santos, Márcia María Fontão Zago, Francine de Montigny, Lucila Castanheira Nascimento

Bibliographic record

VenueRevista Brasileira de Enfermagem · 2017
Typereview
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsQualitative researchNormalityDevelopmental psychologyPsychologyStigma (botany)Social psychologySociologyPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: To synthesize and interpret findings and conclusions of qualitative research addressing the experience of the father in the care of the child with cancer. METHOD: Meta-synthesis of 16 qualitative studies from six databases, analyzed through taxonomic analysis. RESULTS: Child and adolescent cancer have several repercussions on the daily life of the father, especially related to the stigma around the disease, the fear of the unknown and the social and family role. Faced with the illness and the need to care for the child, the father seeks to recover normality in the family and transitions between hegemonic masculine behaviors and practices culturally recognized as female. FINAL CONSIDERATIONS: The complex experience of the father, influenced by masculinities, was evidenced. The limitations regard the restricted understanding of the contextual specificities of the experiences, due to the limited characteristics of the parents and children described in the studies. The knowledge produced is useful to promote involvement of fathers in the care of the child, as well as to strengthen and assist him in this task.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.865
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.182
GPT teacher head0.445
Teacher spread0.263 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations26
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueRevista Brasileira de EnfermagemSame topicChildhood Cancer Survivors' Quality of LifeFrench-language works237,207