Social Well‐Being in an Unsettled World: 75 Years of the International Social Science Journal
Bibliographic record
Abstract
ABSTRACT Marking the 75th anniversary of the International Social Science Journal , this Special Issue examines social well‐being in an era of intersecting crises that deepen inequality, climate disruption, demographic ageing, forced displacement, digital saturation, and changing family and community life. Engaging in dialogue with diverse scholarly perspectives from economics, sustainability studies, psychology, sociology, politics and social work, the issue develops an approach regarding social well‐being as a multidimensional and relational human condition. Contributions trace how welfare regimes, financial systems, and technological change shape security, opportunity, and life chances. The articles in this special issue also uncover how climate injustice and socio‐ecological degradation undermine livelihoods, cultural continuity, and multispecies futures. In addition, they expose how social ties, community, and belonging buffer loneliness, distress, and marginalisation across the life course. The articles empirically explore these themes in diverse contexts, including digital media use, financial therapy and innovation, later‐life poverty, refugee camps, caregiving under health stressors and remote work. This combined scholarly contribution shows that social well‐being is produced at the intersection of material resources, institutional quality, social relationships, and ecological conditions, and that it cannot be secured completely through narrow methodological approaches or a single disciplinary insight.
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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.011 | 0.012 |
| Science and technology studies | 0.006 | 0.013 |
| Scholarly communication | 0.018 | 0.019 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".