Home Extensions in the United Kingdom: Space, Time, and Practice
Bibliographic record
Abstract
This paper begins with two observations: that UK homes appear to have accumulated increasing numbers of domestic technologies, yet new houses are smaller, on average, than those built before 1980. The spatial pressures placed on homes that result from the accumulation of technologies are explored by drawing upon forty household interviews which enquired into the domestic organisation of kitchen and bathroom technologies and practices. Many households have responded to such spatial pressures by extending or reformulating their domestic spaces: such that kitchens are becoming increasingly multifunctional spaces and bathrooms are multiplying. It is argued that these trends are not simply driven by an unstoppable tide of material possession but reflect context-specific arrangements related to the temporal and ideological structuring of domestic practices. Technologies and practices coevolve with the result that new demands are made on homes—the commodities and objects with which we live our lives influence our experience of space and the value placed on different physical configurations. Domestic technologies are therefore implicated in the structure and reproduction of practice and hence in the choreography of things and people in time and space.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".