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Hybrid Corporeality and the Multiplicity of Human Death: A Post-Anthrocentric Perspective

2022· article· en· W4205170800 on OpenAlexvenueno aff
Sergey Sokolovskiy

Bibliographic record

VenueAnthropologica · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsnot available
FundersRussian Science Foundation
KeywordsEmbodied cognitionHuman bodyMemorializationSociologyEpistemologyPremiseEnvironmental ethicsSet (abstract data type)Perspective (graphical)Cognitive scienceAestheticsPsychologyPhilosophyComputer sciencePolitical scienceLawArtificial intelligence

Abstract

fetched live from OpenAlex

Rapid development of cognitive and neurosciences undermined the Cartesian view on the human body as a bounded and autonomous entity. A plethora of publications on enhanced memory, external cognition, extended mind, embodied self, or distributed corporeality confirms the view that the human body and mind are not self-contained entities, producing the world as a prosthetic set of “extensions” or parts of hybrid wholes, which we interpret as cyborganic assemblages. However, in this abundance of documented entanglements of bodies and minds with their surrounding settings, of fusions of corporeality with inert matter, there is scarce, if any, reflection on the posthumous fate of these hybrids and on the multiple forms of their deterioration, that establish what the author provisionally describes as multiplicity of human death. The paper presents the analysis of various forms of human body and inanimate matter integration and their posthumous persistence or deterioration. The view on the human body as multiple provides corollary of its death as a multimodal, manifold set of events, distinguishing biological, lived, and social bodies and their heterochronous deaths. The heterochronicity of human death is illustrated with the description of private commemorative practices that form a geography, distinct from the usual public commemoration places.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.873
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0070.006
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.041
GPT teacher head0.367
Teacher spread0.326 · 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 designTheoretical or conceptual
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
Published2022
Admission routes1
Has abstractyes

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