Understanding the Multi‐Faceted Nature of the Public Stigma of Mental Illness: Insights and Implications From a Structural Violence Perspective
Bibliographic record
Abstract
The societal stigma surrounding mental illness emerges because of dysfunctional social dynamics between patients, their families and the broader community. This phenomenon, referred to as public stigma, manifests through discriminatory actions or the exclusion of individuals within power structures. Public stigma detrimentally affects the well-being and recovery of those grappling with mental illness, impeding their quality of life. This paper discusses public stigma, examining society's negative attitudes toward individuals diagnosed with mental illness, the systemic injustices perpetuating their marginalisation and the ramifications for nursing practice. Ultimately, the authors propose a theoretical framework to educate and inform health professionals across both mental health and general medical domains, as well as policymakers, about the impact of structural violence in perpetuating public stigma and providing recommendations for remedial action.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.024 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".