Love thy Neighbour… or not: Christians, but not Atheists, Show High In-Group Favoritism
Bibliographic record
Abstract
Atheists are among the most disliked groups in America, which has been explained in a variety of ways, one of which is that atheists are hostile towards religion and that anti-atheist prejudice is therefore reactive. We tested this hypothesis by using the 2018 American General Social Survey by investigating attitudes towards atheists, Christians, Buddhists, Hindus, Jews, and Muslims. We initially used a general sample of Americans, but then identified and isolated individuals who were atheists, theists, nonreligious atheists, religious theists, and/or theistic Christians. Logically, if atheists were inordinately hostile towards religion, we would expect to see a greater degree of in-group favouritism in the atheist group and a greater degree of out-group dislike. Results indicated several notable findings: 1). Atheists were significantly more disliked than any other religious group. 2). Atheists rated Christians, Buddhists, Jews, and Hindus as favourably as they rated their own atheist in-group, but rated Muslims less positively (although this effect was small). 3). Christian theists showed pronounced in-group favouritism and a strong dislike towards atheists. No evidence could be found to support the contention that atheists are hostile towards religious groups in general, and towards Christians specifically, although this may have been a Type II error. If atheist groups do dislike religious groups, then this hypothetical dislike would be significantly smaller in magnitude than the dislike directed toward atheists by Christians.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".