Bibliographic record
Abstract
Recalling the theme of the present Research Series Law and Prejudice, this closing article harnesses the conceptual framework proposed by Everett Zimmermann in his semantic analysis of “Pride and Prejudice” to examine the interplay between law, pride, and prejudice. In Zimmermann, “pride” and “prejudice” are both opposite and interconnected qualities, like communicating vessels characterized by the same egoistic “self” as their core. Transposing this analysis into the legal domain, the article explores how the law, akin to “pride,” can reproduce the latter’s characteristics of detachment and perceived superiority, ultimately facilitating attempts at codifying “prejudice.” In this dynamic, the law—through its normative power and façade of objectivity—can become an instrument of marginalization, segregation, and discrimination. This article contends that the law’s supposed objectivity and normative authority transform it into a tool of superiority, not unlike pride in Zimmermann. By examining this dynamic, the article reveals how the law has been used numerous times to justify and normalize prejudice, creating the paradigm of “law as prejudice,” beyond “law as pride.” Through the lens of “othering,” the article illustrates how the law segregates by codifying the differences between “the Self” and “the Other,” sometimes under the guise of protection or benevolence, thereby justifying exclusion and discrimination. The analysis is anchored in the case study of the Canadian settler policies of assimilation of Indigenous Peoples, which show the destructive normative power of the “law as prejudice” paradigm. The article offers insights into the complex relationship between law, pride, and prejudice, and the pivotal role of the egoistic Self as “lawmaker of othering.”
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.012 | 0.070 |
| Scholarly communication | 0.015 | 0.013 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".