Bibliographic record
Abstract
Situated in the middle of Canada’s prairie region, Saskatoon is the largest city in the province of Saskatchewan. Nestled on the meandering South Saskatchewan River, Saskatoon has many natural features that make it an attractive place to call home. The warm, long summer days, green, clean spaces, and a variety of social and cultural events contribute to active living, social engagement, and community participation. Saskatoon offers safe, friendly neighbourhoods, a variety of housing options, excellent educational opportunities, public and accessible transit services, increasingly accessible buildings and services, and a range of health and community services. Winter poses challenges for all residents, especially older adults who face safety issues related to icy and cold conditions and resulting in reduced opportunities for social connectedness. The 2016 Canadian Census lists the population of Saskatoon’s Census Metropolitan Area (CMA) as 295,095, 10.9% of whom are Indigenous people. The CMA’s population grew 12.5% between 2011 and 2016 – far outpacing the national growth rate of 5%. Population growth was due primarily to immigration related to Saskatoon’s rapid economic expansion. Like most cities in Canada, Saskatoon has grown outward from its historic core into mixed-development suburbs. Most older adults live in these car-dependent communities. Saskatoon’s Nutana Suburban Centre has the highest density of seniors in Canada. This model of suburban development poses many challenges for citizens as they age, often forcing unwanted moves in order to access needed supports and services. In 2016, 13.5% of the Saskatoon population was age 65 or older. The older adult population is culturally and socially diverse and consists of multiple generations with vastly differing characteristics, needs, and resources.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".