Between France and Germany: René Schickele and “Geistiges Elsässertum”
Bibliographic record
Abstract
Cet article est consacré au cas de René Schickele (1883-1940), auteur alsacien bilingue, qui a grandi en parlant le français à la maison, mais dont l’œuvre littéraire est principalement écrite en langue allemande. L’héritage biculturel de Schickele et l’époque agitée qu’il a vécue lorsque l’Alsace a été annexée au Second Empire allemand, avant de retourner à la France, après l’expérience traumatisante de la Première Guerre mondiale, l’ont profondément et durablement marqué. En tant qu’observateur avisé des événements politiques européens contemporains, il conférait à l’Alsace un rôle crucial en tant que médiateur culturel entre ses voisins rivaux, pour créer des relations franco-allemandes harmonieuses et assurer la paix en Europe. Cette mission, qu’il appelait « geistiges Elsässertum », est un leitmotiv que l’on retrouve dans la plupart de ses œuvres. Cet article examine la façon dont Schickele promeut son idée du « geistiges Elsässertum » dans son drame controversé, Hans im Schnakenloch. Des références à sa trilogie romanesque de l’entre-deux-guerres, Das Erbe am Rhein, viennent élargir la perspective pour mieux comprendre les enjeux.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".