Studietur USA og Canada: Lokal overvannshåndtering
Bibliographic record
Abstract
Klimaet er i endring, og det er flere intense regnskyll nå enn tidligere. Samtidig gjør fortetting og utbygging i byer at grønne, åpne arealer blir bygget ned eller erstattet med tette flater. Resultatet er at mindre vann infiltreres i grunnen, og tradisjonelle overvannsystemer overbelastes.\n\nI forbindelse med veg-og gatebygging, har løsningen tradisjonelt vært å lede overvannet ned i rør under bakken. Siden rørsystemet ikke er dimensjonert for dagens nedbørsmengder, blir resultatet at områder kan oversvømmes under intens nedbør. Dette fører til stadig flere ekstreme situasjoner med flom, og skadene som oppstår, koster samfunnet store beløp hvert år.\n\nFlere byområder i Region Sør har blitt rammet de siste årene, og det er behov for mer kunnskap om hvordan dette skal håndteres.
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.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.039 | 0.004 |
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".