Rules and regulations
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
Abstract This chapter covers the legal framework and technical regulations that must or should be observed for the strategic asset management (AM) of urban drainage systems over the entire life cycle (planning, construction, maintenance, and dismantling). A distinction is made between rules and regulations that deal with network management in general (strategic level) and rules and regulations that address the management of individual network components and/or certain activities (e.g., CCTV-inspection and condition assessment of reaches or stormwater basins). These activities are subsumed under ‘operative level’. It should be noted that both the legal framework and the applicable technical regulations vary widely from region to region. In some cases, different regulations apply even in different provinces or federal states of a country. Against this background, only case studies can (such as regulations that apply to Germany, France, Colombia or Canada) and will be presented in this chapter. It is thus made clear that AM in the sense of ISO 55000 to 55002 (AM) enables a structured approach to a multi-layered field of tasks. In this way, goals and conflicting goals can be identified and prioritized at various levels and, in conjunction with the continuous improvement process in accordance with ISO 9000 and 9001 (Quality Management Systems), efficient ways can be found to achieve these goals.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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