Patterns of Water: The water related practices of households in southern England, and their influence on water consumption and demand management
Bibliographic record
Abstract
This report contains the findings of survey research on the patterns of water using practices in households across the South and South East of England. Following a ‘practice based’ approach to water demand, this research takes practices as the unit of analysis when exploring water use – rather than attitudes, behaviours or simply ‘litres used’ – and highlights how this changed unit of analysis allows for a deeper understanding of the routines and habits of everyday life that lead to domestic water consumption – washing and personal hygiene, doing the laundry, gardening, cooking etc. Based on an 1800 person survey across the south and south east of England, and a range of descriptive and cluster analysis, this research highlights the diversity of dynamics shaping domestic water demand in the UK and may help bring new insights into how to construct interventions, and into the future trajectories of different practices and levels of water consumption.
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How this classification was reachedexpand
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 | 0.003 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".