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Formas de prepararse la iglesia católica para prevenir, intervenir y reparar el delito de abuso sexual de menores por parte de clérigos y religiosos contemplado en el artículo sexto de los delicta graviora

2020· dissertation· es· W4286499025 on OpenAlexaff
Gonzalo Cadavid Rivera

Bibliographic record

Venuenot available
Typedissertation
Languagees
FieldArts and Humanities
TopicTheology and Canon Law Studies
Canadian institutionsOptech (Canada)
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Los abusos sexuales de menores por parte de clérigos y religiosos han desgarrado el corazón de la Iglesia y han ocasionado graves problemas al interior de la misma, generando así un ambiente de desconfianza y frustración. La investigación explica las formas en que la Iglesia Católica, desde sus inicios hasta el presente, se ha preparado para enfrentar este tipo de delitos. Igualmente se describe el comportamiento jurídico-canónico que actualmente se desarrolla sobre el tema a fin de prevenir e intervenir tan grave problema. A través de los métodos histórico y exegético, logra la investigación diagnosticar que la Iglesia no ha sido del todo indiferente frente al problema. Sin embargo, se reconoce que desde la década de losochenta, cuando comenzaron a salir a la luz pública los escándalos de pederastia en los Estados Unidos, se cometieron grandes errores al preferir las ayudas terapéuticas y consejos pastorales a cambio de la aplicación del Derecho Canónico y denunciar los delitos ante las autoridades civiles. Apartir de la nueva legislación canónica del 2001, la Iglesia ha comenzado un camino de renovación respecto al tema, renovación que necesita tiempo para su perfecta implementación al igual que la colaboración de todos los fieles Cristianos.

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)0.004
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.025
GPT teacher head0.333
Teacher spread0.309 · 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
Published2020
Admission routes1
Has abstractyes

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