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Record W4309862417 · doi:10.1080/02614367.2022.2148719

”I felt there was a big chunk taken out of my life”: COVID-19 and older adults’ library-based magazine leisure reading

2022· article· en· W4309862417 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLeisure Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicTechnology Use by Older Adults
Canadian institutionsWilfrid Laurier UniversityMcMaster University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsReading (process)PandemicCoronavirus disease 2019 (COVID-19)EntertainmentPsychologyAdaptation (eye)SociologyMedia studiesPolitical scienceVisual artsMedicineArt

Abstract

fetched live from OpenAlex

Reading is a central leisure activity among older adults, serving as a means of entertainment, escape, connection, and/or education. COVID-19 public library closures drastically altered this activity. Based on interviews with 21 older adults across Ontario, Canada, this study explores how library closures in the province affected older adults’ magazine leisure reading practices. Analysis yielded three themes: COVID-19 transforming experiences of library as place, COVID-19 as time of loss, and COVID-19 as catalyst for adaptation. Participants voiced the many ways COVID-19 has shaped (often restricting) their choices related to magazine reading (where, how, and what they read, and where they located their magazines). While libraries remained virtually open during the pandemic, many participants chose not to switch to digital platforms (despite their technical proficiency to do so). As a result, they often stopped reading magazines completely, despite the loss this stoppage represented. At the same time, pandemic restrictions compelled others to use the online library services they had previously avoided. Ultimately, participants’ experiences of magazine reading during the COVID-19 pandemic further our understanding of reading as leisure in later life and also trouble prevailing assumptions that older adults’ resistance to digital media engagement is merely a reflection of age-related incompetence.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.696
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.037
GPT teacher head0.308
Teacher spread0.271 · 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