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Record W2086709533 · doi:10.1177/1049732315570128

Transplant Trajectory and Relational Experience Within Living Kidney Dyads

2015· article· en· W2086709533 on OpenAlexafffund
Deborah Ummel, Marie Achille

Bibliographic record

VenueQualitative Health Research · 2015
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsUniversité de Montréal
FundersErasmus Research Institute of ManagementKidney Foundation of Canada
KeywordsPsychologyTrajectoryQualitative researchKidney transplantMedicineKidney transplantationDevelopmental psychologyTransplantationSociologyInternal medicine

Abstract

fetched live from OpenAlex

Living kidney donation is considered common practice across most Westernized countries. While extensive research has documented the experience of living donors, few studies have addressed the perspective of recipients, and even fewer have examined the experience of donor and recipient as an interactive dyad. In this study, our aim was to examine the reciprocal influence between donors and recipients across the transplantation process. We recruited a homogeneous sample of 10 donors and recipients, who were interviewed individually. Data were analyzed using interpretative phenomenological analysis. The presentation of results follows the stages of the transplantation process: the disease experience, the experience of offering and accepting a kidney, the screening period, the surgery, and the post-transplantation period. Results are discussed within the framework of Mauss's gift exchange theory, social roles, and altruism. This comprehensive description of the dyadic experience provides a way to frame and understand psychosocial aspects and relational implications of living renal transplantation.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score0.331

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.538
GPT teacher head0.569
Teacher spread0.031 · 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.

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

Citations31
Published2015
Admission routes2
Has abstractyes

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