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
Public bikesharing, the shared use of a bicycle fleet by the public, is an innovative mobility strategy that has emerged recently in major North American cities. Typically, bikesharing systems position bicycles throughout an urban environment, within a network of docking stations, for immediate access. Bikesharing services with a basis in information technology (IT) began to emerge in North America approximately 5 years ago. Twenty-eight IT-based programs were deployed between 2007 and March 2013. Twenty-four are operational, two are temporarily suspended, and two are now defunct. This study examined the growth potential of bikesharing in North America on the basis of a survey of all 15 IT-based public bikesharing systems in operation in the United States and all four programs deployed in Canada as of January 2012. These programs accounted for 172,070 users and 5,238 bicycles in the United States and for 44,352 users and 6,235 bicycles in Canada. Early operator understanding of North American public bikesharing is reviewed and emerging trends for prospective program start-ups are discussed.
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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