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Record W161718753 · doi:10.1017/s2071832200005009

Redefining the Traditional Pillars of German Legal Studies and Setting the Stage for Contemporary Interdisciplinary Research

2006· article· en· W161718753 on OpenAlexaff
Stephan Leibfried, Christoph Möllers�, Christoph U. Schmid, Peer Zumbansen

Bibliographic record

VenueGerman Law Journal · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicLaw and Political Science
Canadian institutionsYork University
Fundersnot available
KeywordsGermanScholarshipPolitical sciencePoliticsLegal researchProduct (mathematics)Government (linguistics)LawSociologyPublic administrationHistory

Abstract

fetched live from OpenAlex

This essay describes an emergent scheme for modernizing the study of law in German universities, creating a structure that is better equipped to address twentyfirst century socio-legal issues and bring legal scholarship to bear on relevant research problems in the social sciences—and vice versa. It is a by-product of efforts by University of Bremen professors and administrators to foster their university's coming of age as a mature, internationally recognized research university and to compete for new funds that the German government is making available to select universities. As such, it provides a rare example of the integration of legal studies into a large interdisciplinary research program, and of law professors rising to the challenges of contemporary funding demands, joining forces with political scientists, sociologists, economists, and philosophers.

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)0.014
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.115

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.006
Science and technology studies0.0050.059
Scholarly communication0.0150.014
Open science0.0020.005
Research integrity0.0040.004
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 head0.186
GPT teacher head0.466
Teacher spread0.280 · 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

Citations4
Published2006
Admission routes1
Has abstractyes

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