Stigma and mental health: The curious case of COVID-19
Bibliographic record
Abstract
Introduction: This article considers the impact of COVID-19 on stigma and mental health across the life spectrum and the ways that people access services. Purpose: To explore the ways that a pandemic (COVID-19) has changed/shifted the relationship between mental illness or mental ill health and stigma across the life spectrum and call to re-focus resources on sustainable healthy societies, building cultures of peace. Methodology: A literature search was employed, combined with informal interviews and observation. Results and Discussion: On the one hand, the pandemic has opened public discussion of mental health challenges such as anxiety and depression, reducing some of the stigma attached as the experience is more common amongst people who have not previously declared mental health challenges. On the other hand, people previously experiencing mental ill health have mostly had that health challenge exacerbated by the pandemic. With fewer resources available, and changes in service delivery to largely on-line resources, the reduction in stigma has not meant better mental health care and services, but rather further marginalized some of the population. Cultures of peace are inclusive and provide space for full growth of all citizens, in contrast to reactive approaches now more readily applied. Mental health services are a basic right for all people and should be considered as such in all planned health strategies. Limitations: The article focuses on literature review, anecdotal and observation and is focused over a short term, in North America. It is a preliminary study. Strengths: As a preliminary study, the article highlights an emergent and present dilemma. It also highlights the need for a much more holistic, global approach to mental health and wellbeing across the lifespan. Conclusion: While there are calls for national strategies for mental health services and services for people with dementia, in particular, there is still a need to take a more holistic approach to mental health as part of a whole health strategy to support human dignity and inclusion across the lifespan
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.034 | 0.049 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.011 | 0.019 |
| 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".