Un/Certain Borderlands: Multimodal Discourses of Border Renaissance in Polish and German Media
Bibliographic record
Abstract
Since geopolitical crises accelerate migration from warzones or places of forced cultural homogeneity, we can notice an increasing meaning of borders today in a changing society, not only in Western but also in Eastern Europe and in-between. At the same time, findings from interdisciplinary border research emphasize precarious phenomena of ‘uncertainty’ or ‘in-between-ness’ and hybridity, suggesting that borders have a ‘liminal quality’. In the emblematic case study on re/bordering at the German–Polish borderland, traits of a renaissance of the border and territorial un/certainty, mean irritation in space, cultures, and forms of belonging. In developing discursive practices in time such as symbolic and socio-spatial phenomena of demarcation, exclusion, and transformation, this report refers to empirical phenomena like the “Rosary to the border” and “LGBT-free zones” in Poland or the “Willkommenskultur” in Germany. It juxtaposes interpretive reciprocal patterns of borders, like ‘fear’ and ‘irony’ that weave a tapestry of un/certainty. These examples show how the Polish–German borderland is affected by re/bordering practices without necessarily being geographically close to it and therefore show its liminal quality.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.005 | 0.017 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 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".