Bibliographic record
Abstract
<div class="abstract" data-abstract-type="normal"> <span class='bold'>APMO</span> Asian-Pacific Mathematical Olympiad. Started in 1989, the APMO is a regional competition for countries in the Asian Pacific region, as well as the United States and some other countries. The test consists of a single four-hour day with five problems. <span class='bold'>BAMO</span> Bay Area Mathematical Olympiad. The contest is taken by several hundred students in the Bay Area annually. The format is identical to that of the APMO. <span class='bold'>Canada</span> Canadian Mathematical Olympiad, abbreviated CMO. <span class='bold'>CGMO</span> The China GirlsMathematical Olympiad. The contest began in 2002, and consists of two days, each with four problems to be solved in four hours. <span class='bold'>EGMO</span> The European Girls' Mathematical Olympiad, a new contest inspired by the CGMO. The first EGMO was held in Cambridge in April 2012. Currently, the contest format matches the IMO. Countries send teams of up to four female students to compete at each event. <span class='bold'>ELMO</span> The ELMO is a contest held at MOP every year, produced by returning MOPpers and taken by first-time MOPpers. In particular, all problems are created, compiled, and selected by students. The meaning of the acronym changes each year, originally standing for “Experimental LincolnMathOlympiad” but soon taking such names as “Exceeding Luck-BasedMath Olympiad”, “Ex-experimental Math Olympiad”, “<span class='italic'>e</span> log Math Olympiad”, “End Letter Missing”, “Entirely Legitimate (Junior) Math Olympiad”, “Earn Lots of MOney”, “Easy Little Math Olympiad”, “Every Little Mistake⇒0”, “Everybody Lives atMost Once”, and “English Language Master's Open”. <span class='bold'>ELMO Shortlist</span> Like the IMO Shortlist, the ELMO Shortlist consists of problems proposed for the ELMO. <span class='bold'>IMO</span> The International Mathematical Olympiad, the supreme high school mathematics contest. Started in 1959, it is the oldest of the international science olympiads. The IMO draws in over 100 countries every July, and each country sends at most six students. On each of two days of the contest, contestants face three problem over 4.5 hours—problems are scored out of 7 points, so the maximum score is 42. <span class='bold'>IMO Shortlist</span> The IMO Shortlist, consisting of problems proposed for the IMO. About 30 problems are selected from all proposals (usually more than 100) to form the IMO shortlist. Team leaders from each country then vote a few days in advance on which problems from the shortlist will be selected to appear on the IMO. </div>
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".