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Record W2560361384 · doi:10.1111/lsi.12254

International Prosecution and National Bureaucracy: The Contest to Define International Practices Within the Danish Prosecution Service

2016· article· en· W2560361384 on OpenAlexaff
Mikkel Jarle Christensen

Bibliographic record

VenueLaw & Social Inquiry · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean and International Law Studies
Canadian institutionsCentre for International Governance Innovation
Fundersnot available
KeywordsCONTESTBureaucracyCompetition (biology)SituatedPolitical scienceService (business)LawCriminal lawDanishPosition (finance)SociologyPublic administrationPoliticsBusinessEconomicsEconomy

Abstract

fetched live from OpenAlex

This article explores how international ideals and practices of law enforcement come into conflict with national bureaucracies. Drawing on original interviews, the investigation demonstrates how the competition to define the role of international prosecution impacted career strategies as well as the actual administration of criminal law within the Danish Prosecution Service (DPS). The analysis shows that this competition is embodied in two competing groups of prosecutors situated in a wider national bureaucracy—itself subject to transformations that affect the very stakes of the contest to define the international. While the institutionalists build careers closely attuned to the systemic and increasingly lean-management-inspired requirements of the DPS, the dissident and consequently unsettled position of the activists leads them to craft alternative career strategies closely related to the emergence of new international fields of criminal law.

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)0.012
metaresearch head score (Gemma)0.013
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0160.021
Scholarly communication0.0140.004
Open science0.0010.010
Research integrity0.0020.004
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 head0.101
GPT teacher head0.386
Teacher spread0.285 · 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

Citations19
Published2016
Admission routes1
Has abstractyes

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