Integrative Organized Hypocrisy? Normative Contentions within the EU and the Refugee Migrant Crisis
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
In 2015 and 2016, 2.3 million individuals applied for asylum in Europe, the highest number since the creation of the EU. The unprecedented strain on the Common European Asylum policies (CEAS), along with the asymmetric pressure on external border countries and the lack of unified support for border controls, highlighted the tensions between member-state sovereignty and regional competence. According to Lavenex (2018), the Refugee and Migrant Crisis (RMC) was first and foremost a crisis of governance, expressing doubts about the EU’s ability to “fail forward” into further integration in the long-run because of “organised hypocrisy”, an unintended organisational strategy deployed to cope with otherwise irreconcilable differences between normative aspirations and real-life actions concerning asylum. This article revisits Lavenex’s premise of European governance and organised hypocrisy and argues for a more optimistic outlook on European integration. Using the infrastructural Europeanism framework as identified by Pelizza and Loschi (2023), this article argues that despite the legal and legislative gridlocks that surround important issues such as asylum, European integration in relation to asylum is ‘failing forward’ in no small part due to organised hypocrisy and not in spite of it.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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