Bibliographic record
Abstract
Saskatoon, one of Canada’s fastest growing cities, has attracted and retained a great number of Asian immigrants in recent years, a trend particularly notable because of the city’s historically low immigration retention and absence of ethnic enclaves. Committed to engaged scholarship, the Community-University Institute for Social Research and the Open Door Society, a newcomer settlement agency in Saskatoon, collaborated on this qualitative study, working together to hear from immigrants and document what they identified as barriers to and facilitators of their Quality of Life (QoL) in the city. In particular, in their discussion of QoL and its determinants, recent and established first generation Asian immigrants in Saskatoon presented in this study related their perceptions of quality of life to neighbourhood resources, sense of belonging in the community, and social comfort (social reception). Furthermore, most of the immigrants of this study showed strong determination to integrate into the mainstream, which they believed would bring them and their children better quality of life in Canada. Three key themes emerged: educational access and opportunity, socio-economic and socio-cultural factors, and reception of the local neighbourhood to recent immigrants. This study sheds light on the perspectives of Asian immigrants settling in a Canadian mid-sized city that remains without ethnic enclaves.
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 | 0.835 | 0.647 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.523 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.553 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".