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Record W3022757978 · doi:10.1093/ageing/afaa097

Ageism and COVID-19: what does our society’s response say about us?

2020· article· en· W3022757978 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

VenueAge and Ageing · 2020
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsConcordia UniversityCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalUniversité de SherbrookeUniversity of WaterlooUniversité LavalInstitut National de Santé Publique du QuébecUniversity of Ottawa
FundersFaculty of Nursing, University of AlbertaUniversity of TorontoDalhousie UniversityUniversity of WaterlooToronto Rehabilitation InstituteConcordia UniversityUniversité de MontréalUniversity of AlbertaConsortium canadien en neurodégénérescence associée au vieillissement
KeywordsPandemicCoronavirus disease 2019 (COVID-19)Solidarity2019-20 coronavirus outbreakPerceptionOlder peopleInclusion (mineral)Public discourseSocial distanceSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Field (mathematics)MedicineGerontologyPublic relationsSociologyGender studiesPolitical sciencePsychologyPoliticsLawVirology

Abstract

fetched live from OpenAlex

The goal of this commentary is to highlight the ageism that has emerged during the COVID-19 pandemic. Over 20 international researchers in the field of ageing have contributed to this document. This commentary discusses how older people are misrepresented and undervalued in the current public discourse surrounding the pandemic. It points to issues in documenting the deaths of older adults, the lack of preparation for such a crisis in long-term care homes, how some 'protective' policies can be considered patronising and how the initial perception of the public was that the virus was really an older adult problem. This commentary also calls attention to important intergenerational solidarity that has occurred during this crisis to ensure support and social-inclusion of older adults, even at a distance. Our hope is that with this commentary we can contribute to the discourse on older adults during this pandemic and diminish the ageist attitudes that have circulated.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.311
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.057
GPT teacher head0.380
Teacher spread0.323 · 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