Across Oceans of Law: The Komagata Maru and Jurisdiction in the Time of Empire
Bibliographic record
Abstract
In 1914 the British-built and Japanese-owned steamship Komagata Maru left Hong Kong for Vancouver carrying 376 Punjabi migrants. Chartered by railway contractor and purported rubber planter Gurdit Singh, the ship and its passengers were denied entry into Canada and two months later were deported to Calcutta. In Across Oceans of Law Renisa Mawani retells this well-known story of the Komagata Maru. Drawing on "oceans as method"-a mode of thinking and writing that repositions land and sea-Mawani examines the historical and conceptual stakes of situating histories of Indian migration within maritime worlds. Through close readings of the ship, the manifest, the trial, and the anticolonial writings of Singh and others, Mawani argues that the Komagata Maru's landing raised urgent questions regarding the jurisdictional tensions between the common law and admiralty law, and, ultimately, the legal status of the sea. By following the movements of a single ship and bringing oceans into sharper view, Mawani traces British imperial power through racial, temporal, and legal contests and offers a novel method of writing colonial legal history
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.015 | 0.018 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".