Immigrant Selection and Global Subordination: A Critical Response to Sahar Akhtar
Bibliographic record
Abstract
In 1908, the Canadian government passed a law to prevent immigration from British India, making the right to immigrate conditional on completing a continuous journey from the country of origin. Hundreds of thousands of European immigrants easily met this stipulation; doing so was nearly impossible for British Indians. In April 1914, Canadian authorities in Vancouver, British Columbia detained 376 British Sikh, Muslim and Hindu subjects travelling on the Japanese steamship Komagata Maru from the Punjab. The Komagata Maru incident, as it has come to be known, reminds us of the toxic role of immigration policy in promulgating anti-Asian racism in the Americas. Immigrant selection has long been a mechanism for nation building, in which the nation has been understood in racial and ethnic terms (FitzGerald and Cook-Martín 2014). Selection by race, ethnicity and religion is by no means a relic of the distant past. The notorious White Australia policy endured until 1966. Until the passage of the 2000 Citizenship Law, Germany provided easy access to citizenship for people of German descent but limited opportunities to naturalize even for children of immigrants born in Germany. Liberia continues to restrict citizenship to ‘persons who are Negroes or of Negro descent’ (1984 Constitution of the Republic of Liberia, Article 27).
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".