Bibliographic record
Abstract
Sa vie brève, mais intense et riche, sa vie au sein de la colonie de peintres de Worpswede, près de Brême, ses amitiés, entre autres avec Rainer Maria Rilke – dont témoigne une ample correspondance – ont fait passer longtemps sa créativité au second plan. Dans ses tableaux, elle exprime la symbiose de l’homme avec la nature : mélancolie des paysages d’Allemagne du Nord, marais, canaux, dunes, tourbières, frêles bouleaux, pins puissants – vieillards aux mains noueuses qui ont quelque chose d’émouvant, mais toujours empreints d’une grande dignité. L’intimité avec la nature est constamment liée à une composante féminine : la femme-mère, la femme-terre, la femme réceptacle de l’enfant comme de l’art. Les enfants aux grands yeux sombres ne sourient jamais ; savent-ils seulement jouer ? Peintre hors-normes à son époque, c’est des décennies plus tard qu’on la connaît mieux.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.027 | 0.007 |
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".