Promoting LNG as A Marine Fuel in Norway: Reflections on the Role of Global Regulations on Local Transition Niches
Bibliographic record
Abstract
Contemporary societies are marked by constant tensions between the notion to improve sustainability and the reluctance to engage in uncertain changes. In any sector, the transition is a delicate and complex process that involves many actors, organizations, and institutions. Niche analysis approaches such as the multilevel perspective model (MLP) explain how such a process grows from innovation within a very restricted field to its generalized application on a global scale. Shipping is a sector particularly challenged by the transition process away from heavy fuel oil towards more environment-friendly alternatives such as liquefied natural gas (LNG) or even non-fossil alternatives. Within this industry, Norway stands as an early adopter and leader of the emerging transition. Drawing from a wide discussion of the treatment of scale in transition literature and from this national case study, we propose that the transition process can emerge not only from a local niche perspective, as widely documented in the literature, but can also be driven by changes at a much larger scale and initiated by new international regulations.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".