Bibliographic record
Abstract
Bridges constructed during the depression of the 1930ties are now at the end of their lifetime. Similar to Roosevelts “new deal” from this period, leading to creation of employment and wealth, EU is now proposing a “new green deal” to reach climate neutrality. But how can the transformation of these bridges be done to support such an agenda? The framework of understanding proposes uses a broader sustainable transition framework integrating megaproject management concepts, circularity and science technology and society (STS) concepts. Circularity in civil engineering and mega projects are still somewhat underconceptualised. Here the Institution of Civil Engineers (ICE UK)-s concepts are used. To this is added the notion of hierarchy of reuses, taken from EU concept of “hierarchy of waste”. The contribution present analysis a specific case of a Danish bridge made in the 1930ties, the 3200 meters long Storstrømsbro. We analyse how the actual sustainable transition work is carried out at the old and new bridge. Building further on a broader portfolio of Danish bridges built during the same period, we propose a more sustainable transition. So far consultants have proposed to use the Building Research Environment (BRE) standard for civil infrastructure for the Storstrømsbro but where this provide a processual model, there is little guidance as to which solutions is the more sustainable for demolition. Some bridges clearly faces to be demolished, some are transformed into secondary crossings, but potentially they could be renovated to serve society with a sustainable circular solution. New Green Deal is part of the EU plan for mitigating climate change. This includes circularity. However, changing existing infrastructure into circular artefacts might prove difficult and run into technological momentum.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".