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Record W4306973235 · doi:10.3917/eslm.157.0075

Pratiques rituelles numériques en temps de pandémie

2022· article· fr· W4306973235 on OpenAlexaffabout
Jacques Cherblanc, Chantale Simard, Chantal Verdon, Geneviève Gauthier, Danielle Maltais, Josée Grenier, Christiane Bergeron‐Leclerc, Susan Cadell, Emmanuelle Zech, Livia Sani, Marie‐Frédérique Bacque

Bibliographic record

VenueEtudes sur la mort/Études sur la mort · 2022
Typearticle
Languagefr
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsUniversité du Québec en OutaouaisUniversity of WaterlooUniversité du Québec à Chicoutimi
FundersAgence Nationale de la Recherche
KeywordsHumanitiesCoronavirus disease 2019 (COVID-19)ArtComputer scienceMedicine

Abstract

fetched live from OpenAlex

La Covid-19 a entraîné des mesures sociosanitaires inédites, notamment des restrictions majeures aux rituels funéraires. Les technologies numériques ont constitué une façon de ritualiser les décès. À partir d’une étude longitudinale auprès de 955 personnes francophones canadiennes endeuillées d’un proche pendant la pandémie, cet article propose de décrire les formes de rites numériques réalisées, leur appréciation et leurs effets sur l’expérience du deuil et la santé des individus endeuillés.

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)0.009
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.025
GPT teacher head0.366
Teacher spread0.341 · 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

Citations7
Published2022
Admission routes2
Has abstractyes

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