Bibliographic record
Abstract
We often form intentions to resist anticipated future temptations. But when confronted with the temptations our resolutions were designed to withstand, we tend to revise our previous evaluative judgments and conclude that we should now succumb—only to then revert to our initial evaluations, once temptation has subsided. Some evaluative judgments made under the sway of temptation are mistaken. But not all of them are. When the belief that one should now succumb is a proper response to relevant considerations that have newly emerged, can acting in line with one’s previous intention nonetheless be practically rational? To answer this question, I draw on recent debates on the nature of higher-order evidence and on what rationally responding to such evidence involves. I propose that agents facing temptation often have evidence of “deliberative unreliability”, which they ought to heed even when it is “misleading” (that is, even when their evaluative judgments are in fact proper responses to the relevant considerations then available). Because evidence of deliberative unreliability can “dispossess” agents of normative reasons for evaluative judgments and actions that they would otherwise have, being continent despite judging that one should now succumb can often be more rational than giving in.
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.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".