Relationship Between Passion Pathways and Religious Activism: Why the Threat to Religious Identity Predicts Peaceful Activism or Extremism?
Bibliographic record
Abstract
Identities of religious believers can motivate believers’ passions, emotions, and action tendencies. Religious identity-based passion can, therefore, lead people to identify with certain kinds of movements, both peaceful and extremist. Around the globe, identities of religious minorities provide a compelling context for studying peaceful and extremist activism driven by passion. Building on previous literature on social identity theory, passion, and religious identity, it was hypothesized that religious identity predicts passion of both types: Harmonious Passion (HP) and Obsessive Passion (OP). It was proposed that people who were harmoniously passionate about their religious identity would promote peaceful activism whereas people who were obsessively passionate would promote hatred and extremism. A sample of 221 devout Shias (a religious minority) from Pakistan participated in the survey-based experiment of this study (males = 108, females = 113; ages ranging from 19 to 38 years, M age = 22, SD = 2.13; experimental condition = 111, control condition = 110). The results supported the key hypotheses of the study: identification with a minority (Shia Identity) leads to both Harmonious Passion (HP) and Obsessive Passion (OP); when the Shia Identity was threatened, HP and OP scores were lower. Furthermore, HP predicted peaceful activism whereas, under a threat to identify, OP increased and showed a significantly higher violent stance, predicting religious extremism. These findings support the assumption that HP leads to Peaceful Activism, whereas OP is associated with increased support for Extremism and Hatred. The results of this study replicated existing theoretical and empirical predictions about passion pathways and threats to religious identity. The implications of the findings are discussed in the context of contemporary identity threats and activism strategies among Muslim minorities in Pakistan.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".