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Record W4224298886 · doi:10.32920/ifmj.v2i1.1521

From Animality to Immortality

2022· article· en· W4224298886 on OpenAlexvenueno aff
Ana Carolina Fiuza Fernandes

Bibliographic record

VenueInteractive Film and Media Journal · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpace Science and Extraterrestrial Life
Canadian institutionsnot available
Fundersnot available
KeywordsImmortalityTranshumanismTranscendence (philosophy)MetaphysicsCyberneticsImitationPhilosophyUploadEpistemologyIdeal (ethics)FleshComputer sciencePsychologyWorld Wide Web

Abstract

fetched live from OpenAlex

In the light of the novel The City and the Stars (Arthur C. Clarke, 1956), this paper discusses the impacts of new technologies—namely, cybernetics, computer networks, and Artificial Intelligence advent—on representations of corporeality, its limits, and transmutations. At first, it will briefly highlight how techniques of the body are mostly concerned with enhancing human biology (until getting rid of it) to circumvent vulnerabilities of the flesh, especially death. Then, Clarke’s novel will be used as an analytical lens, as it anticipates philosophical implications arising from “technological immortality,” expressed in the mind-upload theory and its ideal body transcendence—a singular junction between metaphysics and computer sciences.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.007
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.058
Scholarly communication0.0070.009
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.016
GPT teacher head0.291
Teacher spread0.275 · 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 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
Published2022
Admission routes1
Has abstractyes

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