Supernatural Sociology: Americans’ Beliefs by Race/Ethnicity, Gender, and Education
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The authors analyze the 2020–2021 Chapman University Survey of American Fears ( n = 1,035), the most recent nationally representative survey to examine fears of and beliefs about supernatural and paranormal phenomena, including ghosts, hauntings, zombies, psychics, telekinesis, Bigfoot or Sasquatch, Atlantis, and extraterrestrial visitation. This research examines how supernatural beliefs vary by race/ethnicity, gender, and education after adjustment for other demographic characteristics and religiosity. There were five gender differences, such that women were more likely than men to believe in or fear all nonmaterial or spiritual supernatural phenomena, as well as Atlantis. People with a bachelor’s degree or higher were less likely to believe in extraterrestrial visitation, hauntings, Bigfoot or Sasquatch, and Atlantis. There were also six beliefs and fears for which racial/ethnic differences emerged. The results highlight how gender, education, and race/ethnicity are strongly related to complex belief systems, including supernatural phenomena.
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.
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 | 0.002 | 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 | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it