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Record W4407388539 · doi:10.1093/geront/gnaf040

“Where it’s okay if we die”: Exploring Older Canadians’ Perspective on Long-Term Care Through Found Poetry

2025· article· en· W4407388539 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueThe Gerontologist · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicData Analysis and Archiving
Canadian institutionsUniversity of Ottawa
FundersSocial Sciences and Humanities Research CouncilSocial Sciences and Humanities Research Council of Canada
KeywordsPoetryPerspective (graphical)Term (time)Long-term careDie (integrated circuit)GerontologyPsychologySociologyAestheticsMedicineArtLiteratureComputer scienceNursingVisual arts

Abstract

fetched live from OpenAlex

The thought of living in a nursing home may be disheartening as long-term care establishments have been poorly perceived for decades. The government oversight for quality of care in long-term care homes (LTCH) has resulted in persistent shortcomings when it comes to residents' well-being and health. The coronavirus disease 2019 (COVID-19) pandemic both exacerbated and unveiled long-standing issues regarding the treatment of older adults. Public perceptions about quality of care provided in LTCH declined during the pandemic. With magnification focused on organizational issues in LTCH, future care receivers expressed firm reluctance to consider residence in such facilities. Understanding of older adults' perspectives on LTCH is essential for tailoring care practices and policies. In this study we conducted 2 rounds of interviews with community-dwelling older adults aged 60 or over to better understand their perceptions of LTCH. The narrative data were analyzed using found poetry as an artistic inquiry. Six poems were composed, combining participants' words into one poetic voice-addressing themes such as death, isolation, ongoing health care challenges and private care. Found poetry allowed for salient words to emerge, creating space for nuanced expression of emotions. The combination of multiple voices added to the depth of the poems, which were grounded in the participants' reality.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.895
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.074
GPT teacher head0.372
Teacher spread0.298 · 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