Beyond Economic Incentives: Role of Personal Networks in Employing Cross-Border Commuters
Bibliographic record
Abstract
This study analyzes the role of personal networks in employing cross-border commuters. Based on interviews with Czech cross-border commuters and their Bavarian employers, we find that personal networks are not only crucial for cross-border commuters to secure jobs across the border but also serve as the primary recruitment channel for their employers. Distributing information about vacancies through already employed cross-border commuters allows companies to spread the word easily, without facing language barriers, and at low cost. However, heavily relying on this recruitment channel presents challenges for employers, such as adjusting shift schedules to accommodate carpools, which emerge from the personal networks of Czech cross-border commuters. Over time, personal networks may evolve, leading cross-border commuters to end or alter their cross-border commuting due to family obligations or migration to the country of employment. Our findings contribute to the understanding of cross-border commuting by bridging the gap between economic and non-economic theories.
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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 | 0.001 | 0.000 |
| 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 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".