Survey study on Hong Kong residents recently arrived in Canada (second wave) : Preliminary report
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
To further understand how Hong Kong residents who recently arrived or returned to Canada experience their settlement and integration process and how this process may have influenced their health and mental health conditions, we conducted a second wave of online surveys between September 8 and October 10, 2024. A total of 636 respondents completed the survey. As reported in this survey, this group of respondents are primarily middle-aged, highly educated, and fluent in English, consistent with the targeted population of the Canadian government’s special public policy, the Permanent Residence Pathways for Hong Kong Residents. The findings indicate that most respondents experienced difficulties searching for jobs that met their expectations, securing affordable housing, and accessing health care services; their settlement process was largely smooth. Many respondents established and maintained a relatively active social connection with families and friends in Canada and Hong Kong, who have been their significant social support and help. So far, their social circle has tended to be confined to other people from Hong Kong. Most respondents also demonstrated “healthy immigrant effects,” as most reported no major health and mental health concerns. Among all the stressors, over half of the respondents stated that their status and work problems were their significant sources of stress. These problems are interrelated and may be worsened due to the slowdown of their permanent resident application process. Indeed, nearly half of the respondents were unsure if they would stay in Canada for good. When encountering health and mental health issues, most did not receive formal support. They relied mainly on the support from their informal network, showcasing their impressive adaptability in navigating the challenges of settlement.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it