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
Cities are facing many challenges, in particular in relation to the mobility of people and the structure of land use. Parking management, which makes the link between land use and transportation, is one of the crucial ways to meet these challenges. In the Greater Montreal Area, data from origin–destination (OD) surveys is helpful in understanding typical travel behaviour. This study processes car driver trips from travel surveys to develop vehicle accumulation profiles and derive theoretical parking supplies from the observed parking demand, defined as the maximal number of cars parked in an area at a given time. This research also provides an assessment of the quality of the estimation by comparing the parking supplies derived from an OD survey to parking supplies estimated from public geographical information systems and field surveys. The paper shows that parking supply is subject to high variability and highlights that its assessment must take into account regulation data (obtained from on-street regulation parking signs data) that modulates the availability of the raw parking supply according to different days and hours of the day.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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