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Record W3216943975 · doi:10.7565/ssp.v4.6190

The Cost of Isolation

2021· article· en· W3216943975 on OpenAlexafffund
Sheila A. Boamah, Vanina Dal Bello‐Haas, Rachel Weldrick

Bibliographic record

VenueSocial Science Protocols · 2021
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsMcMaster University
FundersMcMaster University
KeywordsPhotovoiceSocial isolationPandemicIsolation (microbiology)Mental healthPsychologyFocus groupCoronavirus disease 2019 (COVID-19)Family caregiversCaregiver burdenNursingGerontologySociologyMedicineEconomic growthDementiaPsychiatryDisease

Abstract

fetched live from OpenAlex

Background: Recent research has found that family (e.g., informal, unpaid) caregivers to those in long-term care can experience significant risk of social isolation, a harmful social outcome linked to poor health and wellbeing. For many, the COVID-19 global pandemic has been a time marked by challenges that have exacerbated existing risk of social isolation and has likely impacted mental health and wellbeing among caregivers. As such, this paper outlines a protocol to investigate the extent to which the COVID-19 pandemic has impacted the psychological health and well-being of family caregivers of people living in residential long-term care.
 Methods/Design: A descriptive phenomenological design and photovoice methodology will be used alongside focus groups to capture the perspectives and voices of 15-20 family caregivers. Data will be analyzed thematically, and themes will be developed collaboratively alongside participants. A secondary analysis will be guided by a cumulative inequality lens to consider how the COVID-19 pandemic has differentially affected caregivers.
 Discussion: The results will fill a significant gap in the existing literature on caregiver isolation during this pandemic and inform the development and/or refinement of caregiver supports.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.861
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.091
GPT teacher head0.513
Teacher spread0.422 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations4
Published2021
Admission routes2
Has abstractyes

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