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Record W1988820335 · doi:10.1155/2011/626501

Donors and Recipients of Living Kidney Donation: A Qualitative Metasummary of Their Experiences

2011· article· en· W1988820335 on OpenAlexafffund
Deborah Ummel, Marie Achille, Jessina Mekkelholt

Bibliographic record

VenueJournal of Transplantation · 2011
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsUniversité de Montréal
FundersFonds de Recherche du Québec - Santé
KeywordsDonationAmbivalenceReciprocity (cultural anthropology)Qualitative researchMedicineValue (mathematics)Social psychologyKidney donationPerspective (graphical)Altruism (biology)PsychologyKidney transplantationTransplantationSurgerySociologySocial sciencePolitical science

Abstract

fetched live from OpenAlex

With the notable growth in the qualitative investigation of living kidney donation, there is value in aggregating results from this body of research to learn from accumulated experience. The present paper aims to draw a complete portrait of living donors' and recipients' experience of donation by metasummarizing published studies. We found that donors' experience, particularly the decision-making process, has been more extensively studied than the recipients' perspective. Donors differ in their initial level of motivation to donate but on the whole report positive experiences and personal benefits. They also identify difficult periods and the need for additional resources. Recipients report an often positive but more ambivalent reaction to donation. In terms of relational issues between dyads, while the topic remains understudied, the donor-recipient relationship and gift reciprocity have received the most attention. Results are discussed in terms of their implications for future practice and research.

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)0.051
metaresearch head score (Gemma)0.067
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 score0.051
Threshold uncertainty score0.272

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0510.067
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0040.007
Science and technology studies0.0010.001
Scholarly communication0.0030.004
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.050
GPT teacher head0.307
Teacher spread0.258 · 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

Citations39
Published2011
Admission routes2
Has abstractyes

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