African single mothers and their children in Canada: transnational experiences and sources of support
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
African immigrants comprise an increasing proportion of Canada’s immigrant population and face myriad challenges upon arrival. There are few studies that examine the experiences of African single-parents and their struggles as they try to integrate into Canadian society with their children. This qualitative study sought to highlight the experiences of single mothers and their children. Semi-structured interviews were conducted with a total of 15 participants comprising eight children and seven mothers. Demographic questionnaires were used to gather background information about each participant. Some of the challenges the mothers experienced included lack of recognition of their foreign educational credentials and work experience, under-employment, financial insecurity, and lack of mental health support networks in Canada. The participants’ sources of support included immigrant settlement agencies, schools, government subsidies, faith communities, and their extended family members outside of Canada. The data demonstrate a need to ensure expeditious assessment, and where warranted, recognition of immigrants’ foreign educational and work experience to facilitate access to their professional careers. There is also a need to establish culturally responsive supports to foster the wellbeing of immigrants.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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