Darling Quarter Case Study: Successful sewage recycling within a high profile commercial building
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
The Darling Quarter story demonstrates that in-building wastewater recycling treatment plants can work well, particularly when the proponents are in a position to learn from previous challenges.The Darling Quarter scheme benefited from knowledge gained through previous in-building water recycling plants and represents the second generation of such plants in terms of technology, configuration and system management.This case study also highlights the financial value of '6-Star Green Star Office As-Built' credentials.Darling Quarter attracted premium tenants and this enabled the developers to secure a long-term lease at the lowest point in the Global Financial Crisis in 2008.Darling Quarter 0.17 a capacity class of water type usage Sewer mining; Moving Bed Biofilm Reactor (MBBR), Membrane Bioreactor (MBR), reverse osmosis Darling Quarter is in Sydney's CBD.The blackwater treatment plant commenced operation in November 2011.Toilet flushing, irrigation, and cooling towers ML/d Darling Quarter Case Study Successful sewage recycling within a high profile commercial building
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 | 0.001 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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