The Socialising Role of Cross-border Mobility and its Effects on the Representation of the Border: The Case of Hiking Around Mont Blanc
Bibliographic record
Abstract
In this article, we look at the hikers who have completed the Tour du Mont Blanc, questioning their socialisation not only in the practice of hiking but also in the practice of cross-border mobility. We also analyse the effects of this cross-border mobility in terms of their representation of the border, as well as their opinion of the European Union. Our methodology was based on 15 semi-structured interviews. Results show that the socialisation of cross-border mobility among hikers depends on their social background. Those from the most privileged backgrounds travel the most, particularly outside Europe. These experiences of cross-border mobility have an impact on the formation of opinions and attitudes towards the EU and representations of the border. However, on the Tour du Mont Blanc, the lack of border signs and the absence of checks makes the border easy to cross. It is therefore not considered to be a barrier.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| 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".