Rights, Wrongs, and Injustices: The Structure of Remedial Law - Introductory Text
Bibliographic record
Abstract
In this text, which comprises the 'Preface' and 'Introduction' to Rights, Wrongs, and Injustices: The Structure of Remedial Law (Oxford University Press, 2019), I set out the foundations for the first comprehensive account of the scope, foundations, and structure of the law governing private law remedies (understood here as judicial rulings) in common law jurisdictions. Substantively, this introductory text explains what remedial law is, why it is important, and how common law lawyers’ failure to take remedies seriously as a legal subject has impoverished their understanding not just of remedial law, but also of the broader private law. As part of this explanation, it also introduces four themes that run through the book’s examination of particular remedies. First, the question of what courts should do when individuals seek their assistance (the focus of remedial law) is different from the question of how individuals should treat one another in their day-to-day lives (the focus of substantive law). Second, remedies provide distinctive reasons to perform the actions they command; in particular, they provide reasons different from those provided by either rules or sanctions. Third, remedial law has a complex relationship to substantive law. Some remedies are responses to rights-threats, others to wrongs, and yet others to injustices. Further, remedies respond to these events in different ways: while many remedies merely replicate substantive duties, others modify substantive duties and some create entirely new duties. Finally, remedial law is underpinned by general principles — principles that cut across the traditional distinctions between ‘legal’ and ‘equitable’ remedies.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.020 | 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".