EURO 2012 comparative Google search volume in Canada
Bibliographic record
Abstract
Comparative Google search volume in Canada for all 120 pairings of the 16 teams qualified for the EURO 2012. Google Insights for search was used to see how often the countries were searched for in the context of soccer/football. Column explanations: - [country1] and [country2] indicate the two teams in a pair - [google1.CAN] and [google2.CAN] indicate the total search volume in Canada as indicated by Google Insights for Search (retrieve the URL in column [URL] to see all specifications) - [start.CAN] indicates the start of the time window used to measure the search volume (the end of the time window was alway Mays 2012). May 2011 was used as the start of the window, unless no search volume was given by Google for one of the teams or both teams got exactly the same number. In these cases, the start of the window was extended one month into the past until both teams had values (that differed). [URL.CAN] URL of the Google Insights for Search Website. Retrieving such an URL shows the exact specification of the search.
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) | 0.488 | 0.008 |
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".