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¿Dónde está la política criminal? Derecho penal y vida cotidiana en estudios socio-jurídicos anglosajones

2021· article· es· W3167612750 on OpenAlexaff
Javiera Araya-Moreno

Bibliographic record

VenueEstudios Socio-Jurídicos · 2021
Typearticle
Languagees
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsDerechoHumanitiesPhilosophyCriminal lawPolitical scienceLaw

Abstract

fetched live from OpenAlex

A partir de una pregunta metodológica – ¿dónde está la política criminal? – el presente artículo revisa la literatura en estudios socio-jurídicos anglosajones con el fin de situar metodológica y analíticamente la política criminal en el marco de investigaciones empíricas. Una revisión no exhaustiva y deliberadamente parcial de estudios clásicos en la tradición denominada “derecho y sociedad” (Law & Society) permite reflexionar respecto al rol específico de las organizaciones encargadas de aplicar el derecho penal, y a la tensión entre perspectivas funcionalistas o estructuralistas, por un lado, y perspectivas pragmatistas y empiricistas, por el otro. Tres pistas de análisis son finalmente propuestas: primero, que la política criminal se encuentra del lado del “derecho en acción”; segundo, que tener acceso a ella requiere tomar distancia respecto de concepciones normativas y funcionalistas del derecho y; tercero, que estudiarla tal y como ésta se despliega en la vida cotidiana de justiciables y operadores jurídicos implica movilizar métodos empíricos que reposen sobre una concepción no idealizada de la vida cotidiana.

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)0.005
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0060.021
Scholarly communication0.0100.007
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.323
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 designQualitative
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
Published2021
Admission routes1
Has abstractyes

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