The Effects of the Covid-19 Pandemic on Afro-Caribbean Canadian Youth’s Mental Health and Well-being
Bibliographic record
Abstract
The Black community has been disproportionately affected by the COVID-19 pandemic, both economically and mentally. In addition, Black youth have had the added burden of coping with anti-Black racism (ABR) in conjunction with school closures, social distancing, and isolation — all of which profoundly disrupted their everyday lives. This study investigates, from their own perspectives and experiences, how the pandemic has impacted the mental health and well-being of Afro-Caribbean Canadian youth (ACCY) between the ages of 16 and 18 in urban southern Ontario. The findings from this article are drawn from a doctoral dissertation project which identified the mental health experiences of ACCY and examined the ways in which these experiences shape their use of mental health services. The ACCY in this study lived in urban areas in southern Ontario, were using mental health services, and were accessing spiritual and religious supports. An interpretative phenomenological analysis (IPA) approach rooted in a Heideggerian hermeneutics was used, based upon six semi-structured interviews with three female and three male ACCY. Analysis of data followed IPA guidelines. The analysis of the interviews led to the identification of three major themes related to ACCY’s sense of mental health: feelings of loneliness and isolation; self-awareness; and race consciousness of systemic anti-Black racism. The information gleaned from this research provides important insight into ACCY’s mental health and the various barriers, including systemic ABR, that maintain disparities in their mental health. This knowledge has implications for mental health policies and practices with Black youth and can be used to reduce systemic inequity, promote good mental health, and better understand the needs of Black youth in future crisis situations. Keywords: Mental health, well-being, COVID-19 pandemic, Black youth, systemic inequity.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 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 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".