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Record W7037762241

Fiscal Federalism in Germany

2000· article· en· W7037762241 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicKidney Stones and Urolithiasis Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsFederalismLegislationLegislatureFederal stateState (computer science)GermanGovernment (linguistics)VetoFederal republic
DOInot available

Abstract

fetched live from OpenAlex

A notable characteristic of the German federation, by comparison with the Canadian and United States federations, is the extensive constitutional and political interlocking of the federal and state governments. The federal government has a very broad range of exclusive, concurrent (with federal law prevailing) and framework legislative jurisdiction. But the Länder in turn have a mandatory constitutional responsibility for applying and administering most of these federal laws. While the legislative powers of the federal government are much more extensive than in Canada or the United States, another significant feature of the German federation is that the Länder are more directly involved in decision-making at the federal level than the states or provinces in virtually any other federation. This is achieved through the constitutional requirement that the second chamber, the Bundesrat, is composed of Land first ministers and senior ministers serving as ex officio delegates of their Land governments. The Bundesrat possesses an absolute veto on all federal legislation affecting the Länder. In practice about 60 percent of federal legislation falls in this category and therefore the voice of the Länder through the Bundesrat is highly influential in federal policy-making. Thus, the Bundesrat is a key institution in the interlocking federal state relationship and the extensive joint decisionmaking that occurs within the German federation including those on financial interrelationships.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.049
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
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 head0.012
GPT teacher head0.276
Teacher spread0.264 · 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 designNot applicable
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

Citations2
Published2000
Admission routes1
Has abstractyes

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