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Record W7083467544 · doi:10.5281/zenodo.17208695

From Decency to Dignity: Re-grounding Necrophilia Criminalization Beyond Consent

2025· other· en· W7083467544 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typeother
Languageen
FieldComputer Science
TopicMathematics, Computing, and Information Processing
Canadian institutionsnot available
Fundersnot available
KeywordsDignityCriminalizationJurisprudenceConstitutional rightCriminal codeNormativeCriminal lawConsistency (knowledge bases)Sexual assault

Abstract

fetched live from OpenAlex

Abstract: This paper advances a normative and doctrinal shift from public-decency and burial-site offences to a direct, dignity based criminalization of a offence of necrophilia. It argues that the consent analysis collapses post-mortem, and that the protected interests should be framed as posthumous dignity and bodily integrity, with recognition of relational and public harms. Using Indian constitutional jurisprudence that extends dignity beyond death and comparative models such as the United Kingdom’s Sexual Offences Act 2003 (section 70) and Canada’s Criminal Code (section 182), the paper demonstrates that South Asian frameworks relying on ―indignity‖ and place based triggers are under inclusive and doctrinally misaligned. It proposes a standalone offence defining sexual contact with a corpse, clarifying a mens-rea (guilty mind), enumerating aggravations, and carving out lawful medical and funerary activities. The proposed approach improves legal clarity, prosecutorial practice, and consistency with constitutional values, even in cases where no living victim can give consent or make complain.

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)0.008
metaresearch head score (Gemma)0.011
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: Other · Consensus signal: Other
Teacher disagreement score0.008
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.055
Scholarly communication0.0070.007
Open science0.0020.008
Research integrity0.0030.007
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 head0.051
GPT teacher head0.280
Teacher spread0.229 · 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
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
Published2025
Admission routes1
Has abstractyes

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