Bibliographic record
Abstract
Abstract: Establishing trust among individual agents has defined a central issue of practical reasoning since the dawning of liberal individualism. Hobbes was convinced that foolish self‐interest always threatens to defeat uncompelled cooperation when one can gain by abandoning a joint effort. Against this philosophical background, scientific studies of human beings display a surprisingly cooperative species. It would seem to follow that biologically inherited characteristics impair our reason. The response proposed here distinguishes rationality and reasonableness as two forms of good reasoning. One is consistent with the model of strategic rationality, the other with a model of emotional relationship. From the Hobbesian perspective trusting agents are not rational if their makeup discourages advantageous defection even when one knows it will not be detected or punished. The point is indecisive because reasonable trust insulates cooperative action from the factors that have appeared to make it chancy or unstable without some enforcing power. A critical theme is that trust does not simply rest upon a biological disposition to conform to norms. That would explain but not justify aversion to defection. In fact, trust can survive reasoned challenges to norm‐conforming dispositions, displaying the responsible social animal living along with the rational individual.
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 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 | 0.006 | 0.036 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.028 | 0.005 |
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".