Historische Grundlagen der mobilen Gesellschaft
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Modern Europeans are mobile. Cars in particular have made European societies mobile since the 1960s, but, at the same time, mobile Europeans experience their immobility every day when they get stuck in one of countless traffic jams. The reduction of immobility has therefore been a major scientific and societal challenge since the beginning of mass mobility, in order to minimise its negative consequences, such as individual time loss or economic damage. This volume addresses these challenges by bringing together interdisciplinary approaches to researching the history of traffic information systems as instruments of congestion avoidance and traffic control. It addresses the developmental processes, designs and designers of such systems from traffic radio to digital navigation. <bold>With contributions by</bold> Katja Berg, Fritz Bolte, Weert Canzler, Christoph Classen, Veit Damm, Jens-Ivo Engels, Manfred Grieger, Christian Henrich-Franke, Thomas Kusche-Knežević, Rüdiger Malfeld, Oliver Michler, Marco Secci and Jörg Wehling.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.011 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 0.019 |
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 it