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Record W2109416548 · doi:10.1177/1049732307306123

Daughters Caring for Dying Parents: A Process of Relinquishing

2007· article· en· W2109416548 on OpenAlexaffabout
Trudy Read, Judith Wuest

Bibliographic record

VenueQualitative Health Research · 2007
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsInterdependenceGrounded theoryPsychologyDaughterQualitative researchSocial psychologySociologyNursingMedicinePolitical science

Abstract

fetched live from OpenAlex

Caring for elderly, dying parents is challenging for daughters as they try to balance other obligations and responsibilities. The purpose of this grounded theory study was to explain the domain of daughters' caregiving experiences in Newfoundland and Labrador, Canada. The primary author interviewed 12 women whose parents had died. Three types of turmoil (emotional, relational, and societal) emerged as the central issue for these women. The authors discovered a substantive theory of Relinquishing with interdependent processes of Keeping Vigil, Navigating Systems, Facing Loss, and an end process of Coming to Terms. In moving through the process of Relinquishing, social conditions of personal ideals, family expectations, and societal demands determine strategies employed by any one daughter to manage her turmoil. The findings fill a gap in knowledge related to daughters' caregiving for dying parents by contributing a theoretical framework that will inform women, health care providers, researchers, and health policy makers.

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)0.006
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 score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0090.014
Scholarly communication0.0040.003
Open science0.0010.005
Research integrity0.0010.003
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 head0.535
GPT teacher head0.666
Teacher spread0.131 · 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

Citations42
Published2007
Admission routes2
Has abstractyes

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