We Were, We Are, <i>Will We Be?</i> The Social Psychology of Collective Angst
Bibliographic record
Abstract
Abstract Not all social groups survive the passage of time. Groups once in existence are now but memories of the past. If history is any indication, other social groups are likely to experience a similar fate and join the list of groups that once were. The concern that one’s group might one day join such a list is the focus of this paper. Specifically, we examine the social psychology of collective angst – a group‐based emotion that stems from concern for the future vitality of one’s social group. We begin by discussing the anatomy of collective angst and how it differs from other collective emotions. We then outline factors that foster collective angst. Importantly, we provide a novel theoretical framework outlining both constructive and destructive means by which members may defend against a future that does not include their group. For example, we examine collective angst as a facilitator of, among other things, ingroup cohesion and outgroup aggression. Finally, we discuss how collective angst has manifested on the world stage as well as implications for relations within and between groups.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 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".