Lonely but not alone: integrating social alienation and mental health in urban environments
Bibliographic record
Abstract
Introduction The modern urban landscape is increasingly characterized by the paradox of social isolation in physical proximity. Research consistently reveals a troubling link between social alienation and mental health issues, including a heightened risk for psychosis among vulnerable groups. As cities expand and diversify, understanding and mitigating the detrimental effects of urban alienation becomes crucial. This presentation explores the complex relationship between urban living, social alienation, and mental health, emphasizing the need for psychiatrists to have a more holistic understanding of socio-urban phenomena. Objectives 1. To assess the clinical impact of urban alienation on mental health based on multi-disciplinary literature. 2. To particularly examine urban mental health concepts from outside psychiatry that may be relevant to clinical practice. 3. To identify possible strategies for integrating these interdisciplinary insights into daily practice and public mental health policy. Methods We performed a multi-disciplinary literature review, analyzing studies from psychiatry, sociology urban studies, critical theory, and public health to evaluate the impact of social alienation on mental health. Special attention was paid to identifying both gaps and overlaps between disciplines. Results We grouped findings into three major disciplinary areas: psychiatry, sociology, and urbanist theory. While each of these fields has unique histories and contributions, the literature lacks consistent integration among them. For clinicians in particular, there is significant conceptual language that has not yet entered the psychiatric lexicon. Across fields, it is noted that city-dwellers face alienation due to resource limitations, systemic issues, ideological pressures, and cultural barriers. Proposed solutions vary significantly based on discipline, including community-building activities, mental health support services, and inclusive urban planning. Conclusions There is a breadth of research on cities, alienation, and mental health, and yet little integration of the disciplines. Addressing social alienation in urban environments requires psychiatric thought to move beyond isolated clinical interventions and toward collaborations with community organizations, policymakers, and urban planners. By aligning mental health expertise with the broader social and physical context, psychiatry can contribute to more meaningful, holistic interventions. Consequently, there is a pressing need for academic research bridging these fields, enabling more effective solutions that enhance community well-being in urban settings. Disclosure of Interest None Declared
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.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| 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".