Bibliographic record
Abstract
Taiwanese baseball has just been giving a powerful shot in the arm, with three consecutive shots out of the park by the Brother Elephants’ star player Peng Chen-min 彭政閔 during his team’s 7-1 victory over the LaNew Bears in the first game of their playoff series.\nFor video highlights, please click here. I especially like the announcer’s comments about a home run ball resembling a girlfriend who has just had a change of heart — neither is coming back (In the case of one of Taiwan’s 40-something superstars, Chang Tai-shan 張泰山, this is modified to include a reference to his receding hairline). You might also note the Bears fans eating a certain yellow-skinned fruit (a reference to the color of the Elephants’ uniform), which gives new meaning to that old favorite “Yes, We have no Bananas Today”.\nFor an analysis of what this means for Taiwanese baseball, please click here. It is especially noteworthy that over 8,000 fans attended (the largest playoff crowd ever), and that Sunday’s game at Tien-mu’s 10,500-seat stadium is sold out. There is always hope.\nFinally, for all of you China Beat sports fans who might be wondering what happens when a 102-kilogram Canadian base runner collides with a 88-kilogram Taiwanese catcher at the plate, check this action 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.085 | 0.001 |
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".