Bibliographic record
Abstract
The Centre City is a large regional planning district comprised of the six community districts in the Downtown and Beltline, and all of Stampede Park. In The Caring Centre City: A Blueprint for Social Action, The City of Calgary (2006) described five areas of priority action that were needed to create a caring Centre City: • Addressing crime, safety, and social disorder • Helping the homeless • Increasing affordable housing and residential density • Fostering social inclusion, and • Managing pedestrian and vehicular traffic. The City of Calgary is actively engaged in several initiatives to ensure the Centre City is a vibrant and caring place where Calgarians want to live, work, and play. Many other organizations are also taking an active role in creating the Centre City that Calgarians want. This series of Centre City Action Profiles highlights some of the many other local projects that are underway. As a kid growing up in the suburbs, I always saw downtown as a place where all the action happens. It is the home of international finance, power suits, the BlackBerry®, fancy cars, theatre, and fine dining. It is also home to a bohemian arts scene, hippie coffee shops, homelessness, and visible drug use. The Centre City is the place to see things that a kid from the suburbs just won’t see. Along with the two categories of lifestyle represented, one might think there are also two different work ethics and ways of living. Well, I grew up and have realized that these two categories are arbitrary. A person’s position in life has a lot more to do with where one starts out, how they are supported, and the hurdles they face. Vibrant Communities Calgary (VCC) has taken on the task of publicizing the arbitrary distinction we often make between what we perceive as “lazy ” and “hard working ” people.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.004 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.080 | 0.008 |
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".