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Record W2120835698 · doi:10.1177/1473325011404622

The chaos of caregiving and hope

2011· article· en· W2120835698 on OpenAlexafffund
Wendy Duggleby, Allison Williams, Lorraine Holtslander, Shannon Cunningham, Karen Wright

Bibliographic record

VenueQualitative Social Work · 2011
Typearticle
Languageen
FieldPsychology
TopicMental Health via Writing
Canadian institutionsMcMaster UniversityUniversity of GuelphUniversity of SaskatchewanUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsNarrativePoetryPresentation (obstetrics)PsychosocialPsychologyNarrative inquiryResource (disambiguation)Lived experiencePsychotherapistPsychoanalysisSocial psychologyMedicineLiteratureArtComputer science

Abstract

fetched live from OpenAlex

Hope is an important psychosocial resource that has been found to support family caregivers. In order to further understand the challenges of caregivers and their hope experience, we analyzed, using Cortazzi’s (2001) narrative analysis approach, 101 journal entries of family caregivers of persons with advanced cancer. The data was condensed into poetic phrases to reflect structural categories outlined by Cortazzi of event, description and evaluation resulting in a poetic narrative entitled ‘The Chaos of Caregiving and Hope’. Each stanza of the poetic narrative describes the day-to-day experiences of the participants’ chaos and hope. We believe that looking at the caregiving experience through poetic presentation provided new insights into the lives of caregivers caring for terminally ill cancer patients. These insights are related to the intensity of the chaos, and how hope is present in their daily lives.

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)0.005
metaresearch head score (Gemma)0.013
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 score0.006
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0050.014
Scholarly communication0.0060.004
Open science0.0000.006
Research integrity0.0010.002
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 head0.166
GPT teacher head0.470
Teacher spread0.304 · 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

Citations17
Published2011
Admission routes2
Has abstractyes

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