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Record W2965723476 · doi:10.7202/1062061ar

Dire un Dieu de vie devant la mort

2019· article· fr· W2965723476 on OpenAlexvenueno aff
François Vouga

Bibliographic record

VenueThéologiques · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicDeath, Funerary Practices, and Mourning
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

La multiplication des « Requiems » dans la modernité occidentale constitue un phénomène paradoxal dans notre monde apparemment dominé par l’athéisme et l’agnosticisme. L’auteur a choisi trois oeuvres — Un Requiem allemand de Brahms (1861-1869), le Requiem de Frank Martin (1971-1973) et les Requiem Canticles d’Igor Stravinsky (1965-1966). Il se propose de situer chacune dans son contexte intellectuel puis d’en décrire l’architecture afin d’en donner une interprétation théologique. Pour fonder celle-ci, l’argumentation analyse chacun des « Requiems » et met en évidence la réflexion théologique, explicitement présente dans les écrits de Stravinsky et dans la correspondance de Frank Martin, qui a accompagné leur travail de composition. La pensée propre à chaque musicien et la conscience d’une responsabilité d’ordre spirituel et intellectuel déterminent les solutions esthétiques adoptées. Elles permettent de comprendre la transformation que chacun opère du genre musical du requiem pour transmettre une espérance universelle à une humanité sécularisée.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.012
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.002

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 head0.021
GPT teacher head0.336
Teacher spread0.316 · 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 designTheoretical or conceptual
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

Citations0
Published2019
Admission routes1
Has abstractyes

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