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Record W2982336206 · doi:10.26503/dl.v2019i1.1103

Dawn of Machinic Cyclicality: Life as We Don’t Know

2019· article· en· W2982336206 on OpenAlexaff
Alexandre Paquet

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicBorges, Kipling, and Jewish Identity
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsComputer scienceArtBusiness

Abstract

fetched live from OpenAlex

This paper engages with the question of cyclical time, and more specifically, how the re-imagination of collectives introduces an essential agency in conceptualizing time by diving into the narrative of the video game Horizon: Zero Dawn (2017) to examine the ways in which entanglements of different forms of life (such as the coexistence of humans, nonhumans and technology) as planetary collectives challenge the fixed structure of time through the incorporation of agency as a decisive factor in shaping cyclical time. The first section explores the complexity of the human-nonhuman coexistence in relation to discourses of the Anthropocene, Capitalocene and Chthulucene. The second section engages more specifically with the ways in which these newly conceived entanglements challenge notions of time by allowing for productive ways to transform our understanding of endings and the potential of innovative cyclicality to arise.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: Empirical · Consensus signal: none
Teacher disagreement score0.933
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0430.003

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 head0.237
Teacher spread0.217 · 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
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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