The Problem with Morality: Impeding Progress and Increasing Divides
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 Morality is commonly held up as the pinnacle of goodness but can also be a source of significant problems, interfering with societal functioning and progress. We review the literature regarding how morality diverges from nonmoral attitudes, biases our cognitive processing, and the ways in which it can lead to negative interpersonal and intergroup consequences. To illustrate the negative implications of morality, we detail two specific examples of how moral convictions impair societal progress: the rejection of science and technology, and political polarization in the United States. Specifically, we discuss how moral convictions can cause individuals to challenge scientific facts (e.g., evolution), oppose technologies that can improve health and well‐being (e.g., vaccinations and GMO foods), and fuel political polarization and segregation. We conclude this review by suggesting strategies for policy makers and individuals to help overcome the problems morality can cause.
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 | 0.000 | 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 | 0.000 |
| 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