Bibliographic record
Abstract
No doctrine of the common law of contract has been longer settled or more carefully developed than consideration. Yet none has proved more intractable to theoretical justification. This article suggests that the problem is not with consideration but rather with the theories that defend or challenge it, theories not equipped to explain the doctrine because they invoke functions and purposes that do not belong to the specific kind of relation that consideration necessarily establishes. In contrast with current approaches, the article argues that consideration is not a control device that, for various policy reasons, negatively excludes certain prima facie enforceable promises. Rather, it is constitutive of a kind of interaction that is the only basis on which parties may reasonably be held to have undertaken fully contractual obligations enforceable by expectation remedies. The article sets out the main features of the promise for consideration relation; then seeks to explain the juridical meaning and role of this relation; and finally brings out the contrast with reliance.
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 | 0.013 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.061 |
| Scholarly communication | 0.010 | 0.015 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 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".