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Record W4210387373 · doi:10.3917/gs1.pr1.0004

La solitude des mourants au temps de la Covid-19

2022· article· fr· W4210387373 on OpenAlexaffabout
Christian Bergeron

Bibliographic record

VenueGérontologie et société · 2022
Typearticle
Languagefr
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)Humanities2019-20 coronavirus outbreakSolitudePolitical scienceSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PhilosophyArtMedicineVirology

Abstract

fetched live from OpenAlex

La pandémie mondiale de Covid-19 a impacté plusieurs populations vulnérables, dont les personnes âgées. De fait, de nombreuses victimes de la Covid-19 ont été répertoriées, entre autres, dans des Ehpad ou des CHSLD (Québec). Certes, le virus tue davantage les personnes âgées, mais il a aussi mis en lumière les représentations contemporaines de la mort. Dans cet article, nous revisitons l’ouvrage La solitude des mourants de Norbert Elias afin d’explorer différentes transformations sociales qui s’opèrent en cette période de Covid-19. D’une manière précise, la longévité des personnes, les progrès des sciences médicales, la pacification des sociétés occidentales et enfin, l’importance grandissante du phénomène d’individualisation ont été fortement secoués par cette crise planétaire. Une réflexion s’impose sur les moyens sanitaires utilisés pour combattre le virus et d’une manière particulière sur les manières de vivre et de mourir au temps de la Covid-19.

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)0.003
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 score0.396
Threshold uncertainty score0.788

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0210.017
Scholarly communication0.0040.002
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.130
GPT teacher head0.499
Teacher spread0.369 · 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
Published2022
Admission routes2
Has abstractyes

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