Growing an Architecture: an exploration of form and materiality as catalysts to reurbanize and empower rural Tanzanian communities
Bibliographic record
Abstract
Tanzanian rural migrants moving to cities in search of opportunity have triggered the country’s rapid urbanization. Many migrants, particularly women, are not empowered by the rural-to-urban move and suffer from a degraded quality of life. The rural landscape suffers environmental degradation due to deforestation resulting from the need to supply materials to the rapidly growing urban fabric. This thesis asserts that balance must be achieved between urban and rural development. It posits that balance will be attained by empowering rural communities through the provision of an architectural program, which responds to the communities needs, such as a clinic, primary school, and women's empowerment centre. The research explores the relationships between the contemporary discourses on development, on vernacular architecture, on the changing nature of the profession, and most importantly, on the catalytic potential of form and materiality. The above will be put to test in the representative community of North Muleba in rural Tanzania.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".