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Record W4387639809 · doi:10.1080/01490400.2023.2265950

Flirting with Death: Finitude, Tradition, and Leisure during the COVID-19 Pandemic

2023· article· en· W4387639809 on OpenAlexafffundabout
Jane Hurly

Bibliographic record

VenueLeisure Sciences · 2023
Typearticle
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSociologyFaithPandemicImmigrationCoronavirus disease 2019 (COVID-19)HermeneuticsWorshipGriefGender studiesPsychologyTheologyMedicinePhilosophyLawPolitical sciencePsychotherapist

Abstract

fetched live from OpenAlex

In this hermeneutic phenomenological study I explored and interpreted the lived experiences of leisure of 11 African women immigrants living in Canada during the COVID-19 pandemic before the availability of vaccines. Gadamer’s theory of hermeneutic experience and Aristotle’s leisure philosophy afforded the philosophical bedrock. In-depth, online interviews were augmented with visual methods. After the initial shock of multidimensional loss as pandemic restrictions took hold, women quickly regrouped and were both courageous and resilient. They turned to their Christian faith to sustain them, making do with online services and finding solace in worship. The family circle sustained, and the home became a hive for leisure. Creative leisures were enthusiastically engaged in, and gardening, cultivating, and harvesting were essential to well-being. Through it all, the African ethic of ubuntu permeated their way of being and uplifted them even in the presence of plague and death.

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 score0.060
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.020
Scholarly communication0.0050.003
Open science0.0010.006
Research integrity0.0010.003
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 head0.081
GPT teacher head0.348
Teacher spread0.267 · 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
Published2023
Admission routes3
Has abstractyes

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