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Record W4206405581 · doi:10.1111/cag.12740

Places of paid work and unpaid work: Caregiving and work‐from‐home during COVID‐19

2022· article· en· W4206405581 on OpenAlexafffundvenueabout
Regina Ding, Allison Williams

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsMcMaster University
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health Research
KeywordsWork (physics)Care workRespite careNursingVulnerability (computing)PandemicWorkforceFlexibility (engineering)Coronavirus disease 2019 (COVID-19)Nexus (standard)GrandparentSociologyPsychologyBusinessGerontologyMedicinePolitical scienceEngineeringManagement

Abstract

fetched live from OpenAlex

Eldercare and places of eldercare have been radicalized with the advent of COVID-19. Growing concerns about the safety of long-term care homes, coupled with the continuation of stay-at-home orders, mean that carers are reconstructing new meanings and places of care provision. Increasingly for many Canadians, the home is rapidly becoming the nexus of one's domestic, work, and caregiving world. By interviewing working carers (n = 5) living throughout Canada, this study investigates the changing meanings of home as a place for care during the COVID-19 pandemic. Drawing upon lived experiences of informal carers engaged in the workforce, we observe a blurring of spatial and temporal boundaries between places of work and places of care. Specifically, we note that the integration of carescapes and workscapes into a single domain presents both benefits and tensions to carers, such as increased schedule flexibility and disruptions at work, respectively. Parallel to this, we also explore how previous places of safety and respite, such as independent senior residences and long-term care homes, are perceived as sites of danger and anxiety due to the vulnerability of seniors to COVID-19. This dynamic is likely to continue well into the future, as long-term care homes fall out of favour and carers adopt a more integrated approach to caregiving within 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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.006
Science and technology studies0.0050.003
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 head0.009
GPT teacher head0.205
Teacher spread0.196 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2022
Admission routes4
Has abstractyes

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