Ambiguous goals, uneven implementation – how immigration offices shape internal immigration control in Germany
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This paper investigates regional variation in migration policy implementation, focusing specifically on the underexplored role of policy ambiguity. It chooses a salient case study of internal migration control implementation: the application of labour market access policies for migrants with precarious legal status in German municipal immigration offices. Studying the implementation approaches of eleven offices within one Land by means of semi-structured interviews with senior officials, the research design allows for drawing inter-agency and inter-policy comparisons. The data provides empirical evidence for the claim that the more conflictive and hence ambiguous a policy, the more importance can be placed on local determinants of implementation. Different logics (economic welfare and regulatory control logic) legitimizing more restrictive or expansive implementation are identified and linked to the broader migration policy context. Moreover, the difficult task of officials to determine applicants’ identity clarification efforts – a condition for receiving a work permit – serves as basis for conceptually distinguishing between collective and individual discretion of street-level bureaucrats.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it