The Moore Farm - Integrated Project Dossier (2016)
Bibliographic record
Abstract
The Moore Farm, which is situated at 670 Boulevard Alexandre-Tache, has a very old and rich history that dates back to the 1800s. It was first bought in 1824 by Philemon Wright, a prominent figure in the settlement of the Ottawa area. Starting at the time of the purchase, the property was initially used for agricultural purposes. It was then passed down from Philemon to his son, Ruggles, who then passed it on to his son who was also called Ruggles. In 1872, following the death of the last Wright owner, the property was sold to David Moore. Following this, the stable was built around 1910. In this timeframe, farm transferred hands a couple of times until it was bought by Virginia Parker Moore in 1951. At this point, the farm became an important equestrian farm in the region. In 1973, Virginia Parker Moore donated the farm to the National Capital Commission (NCC) in the hopes that the farm would be protected and could be enjoyed by the public for generations to come. For a couple of decades, the farm remained unused until the NCC decided to invest money into the site to restore and rehabilitate the buildings. The site was rehabilitated with the goal of creating an eco-education center where members of the community could actively farm the land. This is the Integrated Project Dossier compiled by a group of undergraduate students of the Architectural Conservation and Sustainability Program (Engineers and architects) at Carleton University for the CIVE3207 (ARCN4100) Historic Site Recording and Assessment course in 2016.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.081 | 0.022 |
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".