Rethinking Migrant Figures and Solidarity from the Peripheral Borderland of Bosnia and Herzegovina
Bibliographic record
Abstract
Following the post-2015 migration crisis, forced migrants from the Middle East, North Africa, and Southeast Asia (MENASEA) have been stranded in the Western Balkans (WB) and Bosnia and Herzegovina (BiH). While WB and BiH citizens have been emigrating in large numbers to the EU to become new labor force, Bosnia’s new immigrants, also in search of livelihood opportunities in the EU, have ended up being stranded in BiH with slim chance of crossing the border into the EU via neighboring Croatia. From the vantage point of this new European borderland, the paper invites us to think these migrant figures together. It raises the issues of entangled inequalities and solidarity amidst border struggles and migration regimes allowing for convergences in postcolonial and postsocialist scholarship.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.019 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".