Design in Rural America: Preserving the Past by Enhancing the Future, Buffalo, South Dakota
Bibliographic record
Abstract
Rural America of today is faced with major obstacles in the sense of \nmaintaining active urban communities. Some of the factors the feed this fire \nare aging populations, and young people or moving away and not coming \nback. The result of this is that many of these small communities are losing local \nhealth care, schools and other economic institutions. With decline in active \npeople and economic activity, these town?s aesthetics begin to decline. The \nsite for this design thesis is Buffalo, South Dakota, which is and has experienced \nsome of these struggles. With a major highway dissecting the town, \nthis area will be of primary focus. This highway runs from Canada to Mexico \nand is a major route for tourists on their way to the Black Hills. I focus on \nenhancing the visual appearance of this corridor without losing the small town \nfeel. Through research and design development a graphic solution for this \nproblem will be the end result of this project.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".