Analysis of carpool commuting on slovenian motorways
Bibliographic record
Abstract
The thesis is about carpool. Carpool is an arrangement whereby several participants travel together in one vehicle to the same or nearby destination. Advantages and disadvantages will be presented on some examples from the USA and Canada as well as different systems of carpool. Carpooling is increasing also in Europe and in Slovenia as well. Observations have been made along Slovenian motorways to record sites near motorways access, which are usually not regulated as parking lot, where cars are parked, while commuters continue their journey with other commuters. A survey has been made on some of these sites to achieve data from commuters, who already carpool every day. An additional survey has been distributed to random drivers in order to find people who like carpool as a way to commute every day and potential commuters who would be willing to share their ride with other commuters. Both survey results are presented. In the following section transportation modelling is treated. Special attention will be given to the prioritisation of high-occupancy vehicles. Carpool incentives are provided to encourage carpooling as well as arrangement proposals of sites near motorways access and improvements in order to develop carpool in Slovenia.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".