Bibliographic record
Abstract
NRU Publishing produces three weekly news publications, Novæ Res Urbis - Greater Toronto Area Edition, Novæ Res Urbis - City of Toronto Edition, and Novae Res Urbis - Vancouver Edition that focus on municipal politics and urban planning issues in Vancouver, Toronto and in the GTA. Novæ Res Urbis (pronounced nov-eye rays er-bis, a term roughly translated from Latin as “News of the City”) was first published in June 1997, six months before the amalgamation of the seven municipalities of Metropolitan Toronto into the new City of Toronto. The newsletter was conceived by Ian Graham and Bruce Davis based on a belief that with amalgamation would come, not only change, but confusion—the newsletter was to provide up-to-date information on the evolving new city structure and its regular activities, including planning and development matters. By June 1998, NRU published its first GTA newsletter, originally known as GTA/905 Municipal News and later as Novæ Res Urbis Greater Toronto Area Edition. Since then, NRU has provided over ten years of detailed coverage on key developments and issues affecting Toronto and the GTA, and has become an important information source for decision-makers dealing with municipal issues.
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 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.009 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.293 | 0.368 |
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".