Bibliographic record
Abstract
Detail, cupola on variant of model Jonquille (1425 sq. ft.); The firms credited with the project are Gagnon Letellier Cyr Mathieu Ricard, Architects and DAA Daniel Arbour & Associates Landscape Architects and Urban Design. From 1990-2010 Beauregard was a senior partner at IBI-DAA (Daniel Arbour & Associates) group; since 2011 she has an independent practice (Elise Beauregard architecte paysagiste LEED et Collaborateurs Inc.) focused on landscape architecture, urban design and urban ecology. Located along the boulevard Champlain, near the Notre-Dame de la Garde Park, Brown Basin is the place where General Wolfe and his men landed at Quebec in 1759 before the famous Battle of the Plains of Abraham. The park opened as part of the 400th anniversary of the founding of Quebec, in 2008. The park features a rebuilt quay, fishing pier, shoreline restoration, an interpretive center, pedestrian and bike paths, ice rink, and a promenade linking it to the Plains of Abraham (park to the north). Source: Ville de Quebec [city website]; http://www.ville.quebec.qc.ca/ (accessed 6/30/2014)
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.451 | 0.077 |
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".