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Record W2564840094 · doi:10.7202/1038369ar

Ces morts qui ne sont jamais oubliés : retour et survivance dans les séries télévisées contemporaines

2016· article· fr· W2564840094 on OpenAlexvenueno aff
Maud Desmet

Bibliographic record

VenueNouvelles perspectives en sciences sociales · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicDiverse Cultural and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophyHumanitiesArt

Abstract

fetched live from OpenAlex

Parmi les différentes figures récurrentes représentant la mort dans les fictions télévisées s’en trouve une particulièrement troublante, celle d’un mort qui refuse de mourir totalement : le revenant. Si cette figure est peut-être la figure de la mise en scène de la mort sur le petit écran, c’est justement parce qu’elle partage avec le médium sériel des qualités persistantes qui repoussent et nient constamment la fin . Banalité du médium et banalité de la figure se rejoignent également : le revenant est en effet la figure de « mort qui revient » la plus détachée de toute altérité. Il n’est ni le zombie ni le spectre, seulement un mort qui refuse la disparition physique, et dont le statut formel est similaire à celui des vivants. Cette mise en scène spécifique de la mort dans laquelle s’inscrit le revenant, parce qu’elle rend possible une réunion fictionnelle des morts et des vivants, interroge sans doute avec le plus de justesse et en rendant compte de toute sa complexité, notre relation réelle aux morts.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.481
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0050.022
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
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 head0.091
GPT teacher head0.352
Teacher spread0.261 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2016
Admission routes1
Has abstractyes

Explore more

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