L’Ultra D-Day Trail : entre défi sportif, commémoration et valorisation patrimoniale des plages du Débarquement de Normandie
Bibliographic record
Abstract
This article focuses on a sporting event, the Ultra D-Day Trail, an atypical and innovative race, designed and organized in June 2014 for the commemoration of the 70th anniversary of the Normandy Landings. In the stream of festivities and events organized for this occasion, the Ultra D-Day Trail transformed the Normandy coastline, from Utah Beach to Sword Beach, into both a sporting area and a memorial space. The valorization of the sites of the 1944 D-Day landings is a significant challenge. The organization of the race plays on symbols, the staging of the athletes/actors, and explicit messages of peace and exchange between nations. The analysis uses press articles, website and social media content, and accounts from actors, organizers, runners, and spectators. By means of effective communication and media coverage, the sports event contributes to an original process of patrimonialization of the spaces and major memorial sites linked to the D-Day landing beaches.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".