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Record W4246930224 · doi:10.1177/152692480001000203

Family Adaptation to a Child's Transplant: Pretransplant Phase

2000· article· en· W4246930224 on OpenAlexfundno aff
Geri LoBiondo‐Wood, Laurel Williams, Kamiar Kouzekanani, Charles N. J. McGhee

Bibliographic record

VenueProgress in Transplantation · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsnot available
FundersMcMaster University
KeywordsCoping (psychology)Social supportMedicinePsychological interventionPerceptionContext (archaeology)Adaptation (eye)Exploratory researchClinical psychologyPsychologyDevelopmental psychologyPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

The purpose of this study was to explore the relationship between family stress, family coping, social support, perception of stress, and family adaptation from the mother's perspective during the pretransplant period in the context of the Double ABC-X Model of Family Adaptation. The process of seeking a transplant for a child is very stressful, and before interventions can be developed, clinicians need to understand how aspects of family life are affected. Twenty-nine mothers whose children were being evaluated for a liver transplant constituted the sample for this exploratory study. Higher family strains, fewer coping skills, and higher perception of stress were related to more unhealthy family adaptation during the pretransplant phase. Data point to the need for close evaluation not only for the child's needs but for the family's needs as the family begins the process of seeking a transplant for the child.

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)0.001
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.317
Teacher spread0.294 · 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

Citations8
Published2000
Admission routes1
Has abstractyes

Explore more

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