Salt Lake City gets go-ahead to bid for Winter Olympics - NO CAPTION
Bibliographic record
Abstract
Salt Lake City got the green light to bid for the Winter Olympics â most likely for 2030 â in an attempt to bring the Games back to the city that hosted in 2002 and provided the backdrop for the U.S. winter teamâs ascendance into an international powerhouse. Salt Lake City got the green light to bid for the Winter Olympics.The U.S. Olympic Committee said it was selecting Utahâs capital most likely for 2030.Salt Lake City hosted the 2002 winter Olympics, so it stood out as a predictable, slam-dunk pick in a process that also included Denver and Reno.With venues still in place from the 2002 Games, Salt Lake claims it can host again at a lower cost than other candidates.The USOC left open the possibility of other dates if 2030 doesn't work out.There are only two bidders for 2026: from Sweden and Italy, after voters in Calgary, Alberta, rejected a proposed bid.The International Olympic Committee normally awards Olympics seven years before theyâre scheduled, though that calendar has been in flux because so many cities have dropped out.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.032 | 0.051 |
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".