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Record W3012505931

De toekomst van het stedelijk watersysteem: opereren in een stad vol transities

2019· article· nl· W3012505931 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLeiden Repository (Leiden University) · 2019
Typearticle
Languagenl
FieldEnvironmental Science
TopicEnvironmental Conservation and Management
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsPolitical scienceArtTheologyHumanitiesPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Gedreven door ontwikkelingen zoals klimaatverandering, verstedelijking en digitalisering zien we in het stedelijk watersysteem steeds vaker oplossingen ‘buiten de buis’. Oplossingen zoals publieke pleinen met een waterbergende functie, polderdaken met een dynamische waterberging, zwembaden verwarmd met warmte uit (afval)water; het zijn allemaal pogingen om antwoorden te vinden op de uitdagingen waar de watersector mee te maken heeft. Echter, de watersector is niet de enige in de stad die worstelt met uitdagingen die dergelijke ontwikkelingen met zich meebrengen. Doordat de ruimte in de stad beperkt is, zien we dat de grenzen van stedelijke infrastructuur steeds vaker worden opgezocht, opgerekt en verlegd, om zo oplossingen te kunnen vinden die in te passen zijn in bestaand stedelijk gebied.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.243
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.004

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.

Opus teacher head0.006
GPT teacher head0.163
Teacher spread0.157 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it