Europe´s Refugee Crisis in 2015 and Security Threats from the Baltic Perspective
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
Recent developments in Europe starting with the Russia-Ukraine conflict and ending with the economic and political instability in Greece have given rise to instability in the European Union. Yet, none of the previous crises could be compared with the crisis concerning the current massive influx of refugees into the EU that challenges both solidarity and responsibility of the member states. In this context, it is extremely important to understand the actual security threats related to the refugee crisis, particularly for the Baltic countries that have linked their security with European Union and the NATO. Particularly in Estonia and in Latvia, the refugee crisis has been presented as a high security matter as possible rejection of the EU-migrant could lead to the country’s isolation from the international community, the loss of the NATO security network and its exposure to the security threats from Russia. Alternative decision to accept the refugee quotas could on the other hand create challenges for internal security in terms of legitimacy of national governments and public support to refugee policy. In the light of recent terrorist attacks in France these questions seem even growingly important.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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