Be-greifbare Interaktionen mit grössenveränderbaren Bildschirmen
Bibliographic record
Abstract
Zusammenfassung Neue Technologien für flexible Bildschirme ermöglichen Bildschirme, die physisch verformbar sind. Dies eröffnet das Potenzial, Bildschirme und deren Inhalte auf neue Art be-greifbar zu machen. In diesem Artikel untersuchen wir, wie Nutzer mit Inhalten auf Bildschirmen interagieren können, die durch Rollen oder Falten in ihrer Grösse verändert werden können. Dies ist insbesondere im Kontext von mobilen Endgeräten relevant, deren Nutzbarkeit durch grössen-veränderbare Bildschirme deutlich verbessert werden kann. Wir führen diese neue Klasse be-greifbarer Interaktionen ein, identifizieren grundsätzliche Funktionen der Grössenveränderung und stellen diese anhand von Beispielanwendungen vor.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.005 |
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".