The Paradox of Docket Control: Empowering Judges, Frustrating Refugees
Bibliographic record
Abstract
This article focuses on the gradual expansion of docket control mechanisms in refugee (or asylum) law proceedings in Germany. It shows that granting judges more and more control over their asylum dockets was a central policy tool repeatedly employed by German politicians over the decades in the hope that it would stem the flow of refugees into the courts and ultimately make it easier (and faster) to deport failed claimants. Politicians were much more willing to limit access to asylum appeals than to appeals in general administrative law, illustrating how the pressure to come up with solutions for the flood of asylum applications overcame established norms for maintaining equal access to the courts for all claimants. Surprisingly, the Constitutional Court remained largely unaffected by these efforts except for a paradigm shift that occurred with the amendment of the constitutional asylum provision in 1993.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.023 | 0.053 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.036 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.008 | 0.011 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".