Bibliographic record
Abstract
Order 13769 (Protecting the Nation from Foreign Terrorist Entry into the United States). 1 Commonly known as the Travel Ban or the Muslim Ban, the Order suspended the US Refugee Admissions Program for 120 days, placed an indefinite ban on refugees from Syria, and barred entry to anyone from seven predominantly Muslim countries in the Middle East and Africa.The next day, Canadian Prime Minister Justin Trudeau went on Twitter to proclaim: "To those fleeing persecution, terror & war, Canadians will welcome you, regardless of your faith.Diversity is our strength #WelcomeToCanada." 2 Fourteen minutes later, Trudeau tweeted a 2015 picture of himself greeting a Syrian refugee child at the airport.These two Tweets, a declaration of hospitality and visual evidence of this hospitality, exemplify Canadian "humanitarian exceptionalism," a belief that what sets Canada apart from the US and other nation-states is its distinct benevolence and commitment to human rights.The welltimed public pronouncement was a strategic and politically expedient response to the devolving political situation in the US, which has gone on to implement Immigration and Customs Enforcement raids, separate border-crossing parents from their children, and indefinitely detain asylum seekers in concentration camps.Trudeau draws on a tradition that defines Canadian liberal nationalism -qualities of generosity, hospitality, and tolerance -against our southern neighbour's restrictive and ruthless actions.The president's widely condemned racist and xenophobic Order provided the prime minister with an opportunity to exalt Canada as an open and welcoming haven to the global public.At a moment of American humanitarian failure, Canada asserted itself as a leader in refugee humanitarianism.The subsequent trending of the hashtag #WelcomeToCanada on Twitter attests to the ways that the
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".