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Record W2747074970 · doi:10.3390/rel8090166

The Glorified Body: Corporealities in the Catholic Tradition

2017· article· en· W2747074970 on OpenAlexaff
Cory Andrew Labrecque

Bibliographic record

VenueReligions · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicTheology and Philosophy of Evil
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsArtPhilosophy

Abstract

fetched live from OpenAlex

The rise of new technologies—robotics, artificial intelligence, and nanotechnology among them—gave the American computer scientist Bill Joy certain pause for deep concern; these, he cautioned, carry the very real potential to push humankind toward extinction. In this essay, I explore an often understated reference in conversations on the promises and shortcomings of said technologies: the disposability of the human body. The Catholic tradition, in particular, boasts a rich and extensive collection of teachings on the theology of the body, which addresses, among other things, the significance of the body for human identity, its relationship to the soul, our (restrained) rights and mastery over it, its (proper) uses over the course of life, its relationship with other bodies, the value of its limitations, and its postmortem fate. Here, I engage the Church’s understanding of the centrality of the body alongside currents in transhumanist philosophy which champion technologies that neglect, or intentionally seek to discard, the body in the name of progress.

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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.040
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.072
GPT teacher head0.269
Teacher spread0.198 · 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 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

Citations4
Published2017
Admission routes1
Has abstractyes

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