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Record W2723456059 · doi:10.7202/1033996ar

La belle, la (dé-)possédée, la digne, l’inouïe

2015· article· fr· W2723456059 on OpenAlexaffvenue
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Bibliographic record

VenueInternational Review of Community Development · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicDeath, Funerary Practices, and Mourning
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Quelques formes contemporaines de pratiques avant la mort sont analysées à la faveur d’un aperçu de l’histoire de la modélisation de la mort : quels rapports sociaux orientent les rapports vie-mort ? Comment ces derniers déterminent-ils les pratiques et les représentations successives et sédimentées d’une « bonne » mort et sont-ils illustrés par elles ? Quels acteurs jouent le rôle de définisseurs de cette bonne mort ? Quels sont la portée et les enjeux du mouvement d’intérêt à l’endroit du mourir, de la création d’unités de soins palliatifs, du testament de vie ? Comment agissent actuellement les premiers concernés ? De la bonne à la belle, puis de la dépossédée à la discourue, la « préparation » à la mort prend des formes qui se déplacent de l’événement de la mort comme telle à la présence de la maladie, voire au parcours de toute une vie. Le rite alors mis en place signale un nouveau rapport au temps, aux réseaux sociaux et à l’institution bio-médico-hospitalière, tout en s’axant sur de grands universaux.

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 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)0.011
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.948
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.104
GPT teacher head0.399
Teacher spread0.295 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueInternational Review of Community DevelopmentSame topicDeath, Funerary Practices, and MourningFrench-language works237,207