A Sport that Crosses Borders? Sociology of Cross-Border Sporting Exchanges: The Franco-German Example
Bibliographic record
Abstract
Using the example of sport, this article proposes to analyze border spaces as geographical and relational territories which are constructed and institutionalized by connecting national systems, public policies, stakeholders and representations. After a brief summary of the emergence of the sporting ideology promoting a competition area without borders, we will illustrate our argument based on our analysis of the Franco-German border area constituted as a European Grouping of Territorial Cooperation (EGTC), i.e. the Strasbourg Ortenau Eurodistrict (EDSO). Examples of cooperation and shared sporting activities show that sport is an area of cross-border public action capable of creating Franco-German exchanges and raising the subject of bringing together residents from both sides of the Rhine. However, the field investigation also shows that creating events that bring different populations together is not enough for cultural exchanges to take place.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| 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".