Bibliographic record
Abstract
Abstract In this paper, I argue that echo chambers pose a problem for moral progress because of their threat to moral reasoning. I argue for two theses about the epistemology of moral progress: (1) the practical utility thesis: moral reasoning plays an important role in improving moral judgments, and (2) the conflictive social reasoning thesis: the kind of moral reasoning that is important for moral progress involves social reasoning with disputants. Without some conflict, human beings will naturally reason in a biased and otherwise poor manner. Thus, good reasoning must be social so that reasoners who disagree can keep each other in check. These two theses explain why echo chambers are a problem for moral progress. I argue that echo chambers isolate individuals from reasoning with those they disagree with. This is because echo chambers act as a mechanism for discrediting those outside the chamber. If this is true, then the members of an echo chamber will only reason with those who agree with them. The result is that echo chamber members won't reason according to the conflictive social reasoning thesis. Reasoning will only reinforce their existing echoed beliefs rather than improve them.
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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 | 0.011 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.015 |
| Scholarly communication | 0.006 | 0.011 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".