World Cup opponents forced to share hotels
Bibliographic record
Abstract
Teams at the Women's World Cup...have been forced to share hotels with their opponents. Both the German and American sides have been sharing the same hotel leading up to Tuesday night's semifinal match. German coach Silvia Nied told Agence France Presse this has been happening all tournament long. Her players had to share hotel elevators with French players after eliminating them in the quarterfinals...and with the Swedish team after knocking them out of the tournament in the round of 16. Even US coach Jill Ellis was taken aback when she almost crashed a German team dinner...thinking it was her club. FOX Sports soccer analyst Grant Wahl- a former US MEN'S national team member, Tweeted that men's teams don't stay in the same place as their opponent. ...and lest we think this is happening in a city with limited hotels like Moncton, New Brunswick...this is in Montreal. A city that boasts the 13th most hotels of any city in North America.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.006 |
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; both teacher heads agree on what is shown here.
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".