Achieving Sustainable Inter‐City Transport in Ireland
Bibliographic record
Abstract
Over the past decade the Irish government has invested intensively in a large national\nmotorway network. One of the side effects of this investment has been that now inter-city\ntravel is now considerably cheaper and quicker by car over any other mode. The main\nobjective of this research is to identify and examine the barriers to sustainable inter-city\ntransport in Ireland. The majority of sustainable transport research takes place in an urban\ncontext with very little research\nhas focused on understanding the factors to encourage\nalternative modes on inter\n-\ncity trips. A stated preference study was conducted to determine\nwhat are the factors that impact upon individuals‟ mode choice when conducting an inter-city\ntrip. The results of this paper demonstrate that there are several factors that impact upon\nindividuals‟ mode choice decisions when undertaking an inter-city trip. The main factor that\nwas found to impact upon mode choice was the requirement to have a car in the destination\ncity.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.006 |
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".