“One Nation Under God”: The System‐Justifying Function of Symbolically Aligning God and Government
Bibliographic record
Abstract
Do references to God in political discourse increase confidence in the U.S. sociopolitical system? Using a system justification framework (Jost & Banaji, ), five studies provide evidence that, (1) increasingly governments symbolically associate the nation with God when public confidence in the social system may be threatened and (2) associating the nation with God serves a system‐justifying function by increasing public confidence in the system. In an analysis of U.S. presidential speeches, presidents were more likely to symbolically associate the nation with God during threatening times (Study 1). Among religious individuals, referencing God in political rhetoric increased the perceived trustworthiness of politicians, compared to patriotic secular rhetoric (Study 2) or simply priming the concept of God (Study 3). These effects were also unique to politicians from one's own sociopolitical system (Study 4). Finally, believing God has a plan for the United States attenuates the deleterious effect that perceptions of national decline have on system confidence (Study 5). Implications for the system‐justifying function of religion are discussed.
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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 | 0.006 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| 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".