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Record W2018810689 · doi:10.4018/jte.2012040101

The Humanity of the Human Body

2012· article· en· W2018810689 on OpenAlexaff
José María Galván‐Román, Rocci Luppicini

Bibliographic record

VenueInternational Journal of Technoethics · 2012
Typearticle
Languageen
FieldNeuroscience
TopicNeuroethics, Human Enhancement, Biomedical Innovations
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanityPostmodernityBioethicsSociologyEnvironmental ethicsPerspective (graphical)Field (mathematics)ModernityEpistemologyHuman enhancementHuman bodyEngineering ethicsPolitical sciencePhilosophyLawComputer scienceEngineering

Abstract

fetched live from OpenAlex

The importance of the human body within traditional bioethical debates is amplified within the field of technoethics as scholars attempt to grapple with conflicting views of what it means to be human and what attributes are core to human beings within the era of human enhancement technologies. A technoethical perspective of the human being is presented to highlight defining characteristics of humans within a technological society. Under this framework, symbolic capacity and technical ability are assumed to be grounded within the free and ethical nature of human beings. Ideas from Modernity and Postmodernity are used to demonstrate the need for a more encompassing view of humans which accommodates both its technical and ethical dimensions. The concepts of homotechnicus and cybersapien are introduced to help provide a more unitary vision of the human being and the priority of ethics over technics within this technological society.

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)0.005
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 score0.010
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.050
Scholarly communication0.0100.006
Open science0.0010.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.091
GPT teacher head0.392
Teacher spread0.302 · 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

Citations2
Published2012
Admission routes1
Has abstractyes

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