Bibliographic record
Abstract
Calling Power to Account: Law, Reparations, and the Chinese Head Tax Case, David Dyzenhaus and May Moran, eds., Toronto: University of Toronto Press, 2005, pp. 471. This is a collection of fifteen essays that addresses different aspects of the Chinese head tax case. Edited by two law professors and written mostly by lawyers and law professors, the collection has a strong legal flavour. The book begins with the legal case of Mack vs. Attorney General of Canada. However, the book does not provide a succinct summary of the case. In brief, the case involves three Chinese Canadians, Shack Jang Mack, Quen Ying Lee and Yew Lee, filing a statement of claim through their attorney in December, 2000, in a class action on behalf of head tax payers in the Ontario Superior Court. In all, the case went through three courts, and the original ruling dismissing the claim of head tax payers was upheld by the Court of Appeal and the Supreme Court.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.013 | 0.022 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.005 | 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".