HeddlestoneCohousing: A Beautiful Collision ofSustainability, Psychology,Economics, and Architecture
Bibliographic record
Abstract
“Cohousing is now a well-established housing option in Denmark… Since Gudmand-Hoyer began discussing his ideas for a cooperative living environment nearly three decades ago… the average size of individual residences in new communities is almost half of what it was at the original projects… the increasing willingness of residents to live close together reflects growing confidence in the cohousing concept, as people recognize its benefits and learn from existing communities.” - Danny Milman, Canadian Cohousing Network. The designer/owners of Heddlestone came together in land ownership and residential development to enjoy the mutual benefits of community living. We embrace diversity, mindful communication, sustainable design, and an environmental ethic of living lightly. We build community resilience by cultivating food, working on the land, and cooking meals together in our beautiful common house. We exchange accounting, farming, policy writing, childcare, and construction skills with each other while sharing a tractor, tools, and snow shovels – instead of snow blowers. We are multigenerational - 20 children/teens, 35 young (ish) adults, and 6 energetic elders who plan to age in place. Our community of 24 homes on 24 acres was completely sold-out even before the last foundations in our $8,000,000 development were poured. We formed our own development corporation and utilizing our collective social networks to market the homes. The resulting $1,400,000 in savings was distributed back to ourselves as homeowners ($800,000) and invested in our common house ($600,000) complete with commercial kitchen, dining area, childcare space, teen room, fireside library, and guest suites.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.018 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".