An Examination of The Impact of COVID-19 on the Mental Health and Substance Use of Social Minorities in Canada
Bibliographic record
Abstract
COVID-19 outbreak in Canada has resulted the implementation of public health mitigation laws regarding self-isolation, country-wide lockdowns, and closure of public services to decrease the spread of COVID-19. The application of these public health policies facilitated unintended consequences and side effects that would eventually intensify the already existing mental health issues and substance abuse prevalent amongst these vulnerable populations. People who use drugs (PWUD), wellness service providers, households with young children, and LGBTQ2+ people have reported their concerns for either food security, financial obstacles including the lack of job guarantee, limited access to public resources, and the ongoing opioid crisis in Canada that collided with the pandemic. These concerns have contributed greatly to the positive feedback cycle between the increasing use of substance including alcohol, cannabis, and opioids, and deteriorating mental health issues such as anxiety, post-traumatic syndrome, and depression. This study aims to discuss and compile the responses of social minorities in Canada regarding the use of substances and mental health conditions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".