Bibliographic record
Abstract
Abstract Promises raise two main philosophical problems, one moral and the other conceptual. The moral problem concerns the normative significance of promising: what is the nature and basis of the obligations and rights to which promises typically give rise? The conceptual problem is to say what a promise is: what is involved in making a promise? In this paper I defend three controversial claims about promising. One is about the moral problem of promising, one is about the conceptual problem, and the last one is about the relationship between my conceptual claim and my moral claim. My conceptual claim is that a speaker makes a promise only if he communicates an intention to undertake an obligation to the hearer. (I refer to this as the “Obligation Conception Thesis.”) My moral claim is that the obligations typically attached to promises are such that they can be acquired only by those who communicate an intention to undertake an obligation. (I refer to this as the “Voluntary Obligation Thesis.”) My third claim is that if the Obligation Conception Thesis is true, the Voluntary Obligation Thesis is true.
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 | 0.000 | 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 | 0.000 | 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 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".