Understanding and Enhancing the Role of the Mass Media in Evolutionary Psychology 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
Mass media has always been a prominent source of science information for the general public, and more so than academic journals. The diversification of media with specialized online outlets and the participatory nature of the Internet have opened opportunities, as well as challenges, for researchers and educators. This paper represents our attempt to address this issue with respect to human evolutionary behavioral sciences, and suggest ways to successfully navigate interactions with the mass media for effective evolutionary education. We briefly review how one can interact with the mass media for educational purposes, focusing on how best to situate one’s research within evolutionary theory. We describe our own experiences and those of other academic colleagues who have received mass media attention, noting both positive and negative results. We also provide specific tips on how to best interact with various forms of media.
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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 | 0.001 | 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 | 0.001 | 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 it