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
In light of the necessity of reducing motorized road traffic in Europe, above all in city centers, focus is switching more and more to cycle freight. At present there is little research or systematically prepared findings in this area. This paper demonstrates that the use of cycle freight is already widespread, though restricted to larger cities, which have the density necessary to create demand. The existing firms that use cycle freight operate primarily as pure cycle freight operators. The parallel operation of cargo cycles within fleets of otherwise motorized vehicles has, however, been tried successfully on several occasions. The availability of city center hubs that ensure the necessary efficiency is one of the special requirements associated with the use of cargo cycles. Customers still have reservations, although it may be assumed that these reservations are more a case of initial resistance and could be overcome through information and advertising campaigns. In total, it is expected that around a quarter of city center freight transport could be carried by bike. Bike freight will work only if this mode of delivery is given greater consideration in city and transport planning. Initial estimates indicate that the reduction in air and noise pollution created by cycle-based commercial traffic could be quite significant, although systematic analysis is lacking in this area. To date, there have been no studies on the effects of cycle freight on city center traffic.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it