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Record W4401830296 · doi:10.1177/21676968241276890

The Experience of Emerging Adult Daughters Caring for a Parent With Advanced Disease

2024· article· en· W4401830296 on OpenAlexaff
Eryn Tong, Rinat Nissim, Abby L. Goldstein

Bibliographic record

VenueEmerging Adulthood · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsPsychologyDevelopmental psychologyDiseaseMedicine

Abstract

fetched live from OpenAlex

Caring for a parent during emerging adulthood may be a disruptive and non-normative experience. Despite the growing prevalence of emerging adult (EA) caregivers, there remains limited research. We explored the experiences of EAs caring for parents living with advanced disease. Interviews were conducted with 12 EA daughters and analyzed using constructivist grounded theory. The core category was identified as negotiating accelerated adulthood, a dynamic interplay between feeling more of an adult than before and the paradoxical feeling of I’m not where I should be. Prior to the core category, participants’ caregiving role is assumed. Availability of support influenced participants’ process of negotiating accelerated adulthood. Findings highlight the uniqueness and developmental impact of this experience. Results suggest an interplay of different factors with how the role is assumed, appraised, and experienced by EA daughters. Greater awareness of these experiences may inform the development of tailored interventions and strategies for EA 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)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.001
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 head0.016
GPT teacher head0.316
Teacher spread0.300 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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