Assessing the Influence of an Educational Presentation on Climate Change Beliefs at an Evangelical Christian College
Bibliographic record
Abstract
Despite an overwhelming scientific consensus, a significant proportion of the American public continues to reject anthropogenic climate change. This disparity is particularly evident among evangelical Christians, for whom theological conservatism, general scientific skepticism, political affiliations, and sociocultural influences may impede their acceptance of human-caused climate change. Climate advocates have attempted to engage the evangelical community through various educational initiatives; lacking empirical measurement, however, it is difficult to draw conclusions regarding the efficacy of such programs. Here, we present the results of a study that addresses this lack by adapting questions from the Six Americas of Global Warming survey to measure the climate change beliefs of undergraduate students at an evangelical Christian college before and after attending a lecture by a Christian climate scientist. The 88 participants who successfully completed a pre- and posttreatment survey were divided into three groups: the first attended a live lecture, the second attended a recorded lecture, and the third attended a similar version of the same recorded lecture in which the presenter removed material addressing common misconceptions about climate change. The results demonstrate a significant increase in the proclimate beliefs for students in all three groups. There was no significant difference between the impacts of the live and recorded lectures or between the recorded lectures with and without misconceptions. These findings affirm the value of climate education among evangelicals; highlight the potential utility of such presentations, both recorded and live; and point to opportunities for research in the area of faith-based climate communication.
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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 | 0.005 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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 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".