Bibliographic record
Abstract
Earthships are buildings which are constructed almost entirely of recycled materials and are built to be almost totally self sufficient through the recycling of rain water, the recycling of solar energy into electrical energy, passive solar techniques and sometimes the recycling of wind through turbines, also into electrical energy. This thesis draws out and demonstrates the logic that Earthship architecture emerges from and generates amongst its inhabitants. This logic, it is argued, can be characterized as containing elements of the baroque and Neo-baroque. It is a logic of following and interfacing the elements (earth, sun, wind, rain) that folds them into itself. In such a space it is impossible to delineate any strict division between the inside and outside of a house. The inside becomes a node, interval, or point of passage of the outside and domestic life emerges from a complex and dynamic rhythmic arrangement with the outside. Such a space emerges from and generates a new sense of nature as cycles, flows, and interconnections which are fundamentally inseparable from architecture, technology or domestic life. This thesis also argues that to properly understand Earthships it is necessary to draw out the sense of historical and natural catastrophe that has impacted their origin and present incarnations.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.142 | 0.028 |
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".