Bibliographic record
Abstract
The goal of this project is to transform the old mill into a new space that the residents of the town of Paisley, Ontario can enjoy and use. Another thing that was considered was to make a space that the people renting out the studios in the neighbouring building can also use and benefit from.\nHow it Began As stated, I had to make a space that would benefit the people of Paisley and since the town has a shortage of cafes and bakeries that is what I have decided to design on the first two floors. I then considered the artist living next door, which then lead me to the idea of making the third floor and art gallery, so the neighbouring residents and the people of Paisley can display and come view each other's art. I also wanted to protect the history of the mill by keeping as of its original features as possible so that people will also come visit for its history. I also didn't want to waste the wonderful scenery behind the mill, but was worried about tearing too many holes in this irreplaceable aged exterior, so I had to come up with away around this issue. Which then lead to the addition of the porch and balcony. Customers can admire the scenery of the forest behind the mill, while enjoying their purchases at the same time.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.357 | 0.172 |
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".