Bibliographic record
Abstract
Law serves as the site through which Canada expresses its commitment to the global war effort, showing its willingness to suspend the rights of citizens and non-citizens alike in the name of national and international security. After the bombing of Pearl Harbor, for example, Canada legislated for the internment of individuals with Japanese ancestry, confiscated their property, stripped them of citizenship and deported them to Japan, even if they did not have concrete ties to that country. Canadian history has demonstrated that one cannot understand the demarcation between those who are imagined to belong to the community and those who are constructed as ‘foreigners’ simply on the basis of citizenship. Rather, the demarcation has also historically been constructed along racial lines. In times of war, the law speaks loudly and clearly against those who are regarded as undesirable, untrustworthy and foreign. Since 11 September 2001, the trope of war has once again been invoked to justify the revocation of rights to certain segments of Canadian society. As a result of the ‘war against terrorism’, as it is popularly called, Arabs and Muslims in Canada have been disenfranchised and regarded as the foreigner within. The overtly racist instruments of the past have been put away. Arabs and Muslims are not being rounded up in internment camps nor are they being collectively stripped of their citizenship and required to leave Canada. Nonetheless, the war against terrorism has effectively constructed Arabs and Muslims in Canada as non-citizens because this war denies Arabs and Muslims rights that are otherwise guaranteed to other citizens.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.057 | 0.016 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.011 | 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".