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Record W4286791865 · doi:10.4000/caliban.7118

Dynamiques de l’effondrement dans le fantastique, la fantasy et la SF

2020· paratext· fr· W4286791865 on OpenAlexaboutno aff

Bibliographic record

VenueCaliban · 2020
Typeparatext
Languagefr
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsnot available
Fundersnot available
KeywordsChemistry

Abstract

fetched live from OpenAlex

Alors que beaucoup appellent désormais non à prévenir une lointaine apocalypse, mais à freiner un effondrement en cours (climatique, énergétique, etc.), ce recueil applique la réflexion technique et anthropologique des collapsologues aux fictions de l’imaginaire. Fort de ce cadrage plus politique qu’eschatologique, il étudie des œuvres récentes influencées par le contexte de l’effondrement, et relit des œuvres anciennes à la lumière de cette nouvelle perspective. Les articles portent sur des œuvres littéraires, des séries télévisées, ou encore des jeux de société. Textes québécois, philippin et irlandais s’ajoutent au corpus étasunien et britannique. L’apocalypse scientifique de la fiction de la Guerre froide est confrontée aux classiques de la fantasy, et la désintégration sociopolitique aux impacts des pandémies et du changement climatique. While many now call out not to prevent a distant apocalypse, but to slow down an ongoing collapse (of climate, energy resources, etc.), this collection applies the technical and anthropological thinking of theoreticians of systemic collapse to fantastic fiction.Relying on this political rather than eschatological perspective, it explores recent productions influenced by the context of collapse, and reconsiders old works in the light of this new frame of reference.The articles examine literary works, television series, or even board games.Quebec, Filipino and Irish texts supplement the American and British corpus.The scientific apocalypse of Cold War fiction is set against the classics of high fantasy, and socio-political disintegration against the impacts of pandemics and climate change.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.898
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.015
GPT teacher head0.312
Teacher spread0.297 · 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 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
Published2020
Admission routes1
Has abstractyes

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