Girl Guides of Canada cancel all travel to U.S.
Bibliographic record
Abstract
The Girl Guides of Canada -- which are similar to the Girl Scouts in the U.S. -- are cancelling all travel to the United States because of fears girls might have trouble at the border due to travel restrictions enacted by President Donald Trump. The Girl Guides of Canada are cancelling all travel to the United States because of fears girls might have trouble at the border due to travel restrictions enacted by President Donald Trump.The Girl Guides are the Canadian equivalent of the Girl Scouts in the U.S.A spokeswoman says the organization's membership is diverse and inclusive and leaders worried some girls could get left behind when a group tried to enter the U.S.A temporary travel ban by Trump on citizens from six Muslim-majority countries also has Canadian schools concerned with how foreign-born students will be treated at the border.And while the spokeswoman says she wasn't aware of any girls being turned away by U.S. officials, the Girl Guides don't want to take the risk with all the uncertainty.A nationally sponsored trip to a California camp that was scheduled for this summer is being relocated... The group's encouraging local leaders to consider domestic trips instead.Canadian schools are also considering cancelling trips to the U.S. for similar reasons.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.293 | 0.087 |
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".