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Zombies, symptômes d’une époque terrifiée

2015· article· fr· W2570160425 on OpenAlexaff
Maxime Coulombe

Bibliographic record

VenueSocio-anthropologie · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Les zombies sont partout. Leur statut de phénomène à la mode tend à nous faire oublier qu’ils sont non seulement les produits commerciaux, mais aussi psychiques de notre époque. En fait, ces créatures mythiques, vraisemblablement originaires d’Afrique noire et entrées dans la culture occidentale par le biais de Haïti, ont une longue histoire, histoire qui a vu la figure se transformer pour coller aux peurs et aux angoisses des époques où elle est apparue. En Haïti, elle fut la figure de la peur de l’esclavage et de la résurrection chrétienne ; aux États-Unis dans les années 1960, elle se révéla une représentation du châtiment divin ; et depuis les années 2000, elle se fait l’incarnation de notre pessimisme, de notre peur des technosciences, et du sentiment que nous serions au bord de retourner à l’état de nature. À chaque fois, le zombie se fait le symptôme des angoisses, des tensions animant une culture. En cela, les objets de fiction se font, de façon particulièrement claire, des révélateurs.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.066
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.102
GPT teacher head0.406
Teacher spread0.304 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

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