Why Don't Americans Accept Evolution as Much as People in Peer Nations Do? A Theory (Reinforced Theistic Manifest Destiny) and Some Pertinent Evidence
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
Abstract Prior speculations about why Americans don't embrace evolution — as much as comparable nations’ residents do — are generally dated and not well assessed. Reinforced Theistic Manifest Destiny (RTMD), introduced in this chapter, represents a more obviously predictive theory that focuses on spiritually-linked feedback regarding the U.S.’s military (and industrial) prowess. RTMD joins analyses of (a) individuals’ motivations, emotions, and epistemologies, with (b) intra- and inter-national historical narratives. Many of RTMD’s empirical hypotheses are discussed and from the U.S. and Canada. The North American findings largely cohere with the relevant set of RTMD’s predictions, given the variety of associations observed among beliefs regarding afterlife, theism, nationalism, global warming, and the origins of species. These encouraging experimental and survey studies offer further implications regarding how evolution might be better conveyed in both formal and informal settings — and why we should teach evolution in the first place (e.g., preserving Earth’s biosphere).
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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 | 0.000 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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