Education as a Social Determinant of Health: Issues Facing Indigenous and Visible Minority Students in Postsecondary Education in Western Canada
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
The level of educational attainment is increasingly being recognized as an important social determinant of health. While higher educational attainment can play a significant role in shaping employment opportunities, it can also increase the capacity for better decision making regarding one's health, and provide scope for increasing social and personal resources that are vital for physical and mental health. In today's highly globalized knowledge based society postsecondary education (PSE) is fast becoming a minimum requirement for securing employment that can afford young adults the economic, social and personal resources needed for better health. Canada ranks high among OECD countries in terms of advanced education, with 66% of Canadians having completed some form of postsecondary education. Yet youth from low income indigenous and visible minority (LIIVM) backgrounds continue to be poorly represented at PSE levels. The current study aimed to understand the reasons for this poor representation by examining the experiences of LIIVM students enrolled in a postsecondary program. Findings show that the challenges they faced during the course of their study had an adverse impact on their health and that improving representation of these students in PSE will require changes at many levels.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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