Becoming (Hyper-) Aware of Cross-Border Interdependencies – Tracing Public Representations of Czech Commuters on the Bavarian Border
Bibliographic record
Abstract
Treating borders as practices of socio-spatial differentiation has made it possible for researchers to critically engage with their selective constructions of “us” and “them.” Against the background of the pandemic, the significance of this perspective appears far from being exhausted. This paper mobilizes the well-established notion of bordering, ordering and othering to examine the public representation of Czech commuters in the Bavarian border region. Based on a search for the term “cross-border commuter,” the content of two local newspapers is analyzed both quantitatively and qualitatively over a period from 2006 to 2021. The analysis shows a fundamental shift in the coverage of Czech commuters as a result of the pandemic, indicating a new (hyper-) awareness of their increased importance on the Bavarian side. It also highlights spatio-temporal differences in their public representation and links them to changing infection rates as well as the multi-scaled efforts of b/ordering the pandemic.
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How this classification was reachedexpand
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".