A review of tiny houses in North America: Market demand
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 history, status quo, and prospect of tiny houses in North America were reviewed. The market demand for tiny houses in North America was analyzed according to the needs in various market segments, such as shelters for low-income and homeless people, recreational housing for vacationers, and the restoration and reconstruction after disasters. This study also discussed tiny housing communities for retirees, tourism companies offering tiny housing accommodation, and government-sponsored tiny housing projects for post-disaster reconstruction. Throughout years of promotion by tiny house enthusiasts, medium advocators, and construction practitioners, more and more people have come to realize the advantages of the tiny houses made of wood, such as energy conservation, low carbon footprint, and sustainable development. In summary, the market for tiny house in North America is in a stage of rapid development.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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