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Record W4388320698 · doi:10.61658/jnsw.v38i1.26

The Experience of Mothering a Child with a Kidney Transplant and the Implications of Illness-Related Uncertainty

2014· article· en· W4388320698 on OpenAlexaff

Bibliographic record

VenueThe Journal of Nephrology Social Work · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsThe King's UniversityWestern University
Fundersnot available
KeywordsKidney transplantationNephrologyMedicineTransplantationDiseaseKidney diseaseIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

Advances in the surgical and immunological aspects of organ transplantation have resulted in significant improvements in long-term outcomes and survival rates, making kidney transplantation the optimal therapy for children with chronic kidney disease (CKD). This study examines the phenomenon of sustained uncertainty as an element of the burden of care for maternal caregivers of children who have undergone kidney transplantation. This study indicates these mothers experience uncertainty in two prominent ways: 1) in their subjective sense of time, and 2) in their ongoing fear that their child will experience rejection of the transplanted kidney. Ultimately, this study advocates for nephrology social workers to begin addressing the social and emotional implications of uncertainty in the experience of illness for caregivers.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0070.007
Scholarly communication0.0030.003
Open science0.0010.005
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.255
Teacher spread0.246 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2014
Admission routes1
Has abstractyes

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