Neoliberalism and the Economic Utility of Immigration: Media Perspectives of Germany's Immigration Law
Bibliographic record
Abstract
Abstract: Germany's new immigration law, which took effect in 2005, was hotly debated over a period of four years. This paper follows the debate on the law through the newsprint media, examines the representation of immigration as an economic utility, and investigates the contents of this economic‐utility perspective of immigration in light of neoliberal restructuring in Germany. The analysis focuses on 609 articles sampled from five major German daily newspapers published between July 2001 and August 2005. A discourse analysis suggests that the newsprint media represented immigration on the one hand as an economic necessity to replenish the labor market and ensure the international competitiveness of key industrial sectors. On the other hand, immigration was depicted as an economic liability that raises unemployment rates and burdens the public welfare system. Although the media emphasized the economic necessity of immigration, the final law does not permit any significant immigration of labor. The paper resolves this contradiction by situating media discourse in a wider context of neoliberal reforms and European Union expansion.
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 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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.005 | 0.025 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".