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
Carsharing is an automobile-rental service intended as a substitute for private-vehicle ownership. Carsharing emphasizes affordability and convenience. Vehicles are located near residences, rented by the hour, and require minimal effort to check in and check out. Carsharing services are common in some European countries and are increasingly common in North America. Carsharing gives consumers a practical alternative to owning a personal vehicle that is driven fewer than 10 000 km (6,000 mi)/year. Carsharing has lower fixed costs and higher variable costs than private-vehicle ownership. This price structure makes occasional use of a vehicle affordable, even to low-income households. It also gives drivers an incentive to minimize their vehicle use and to rely on other travel options as much as possible. Carsharing typically reduces average vehicle use by 40 to 60 percent among drivers who rely on it, making it an important transportation demand-management strategy. Despite these benefits, the use of carsharing is growing slowly and will need to overcome several barriers to achieve its full potential.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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