Bibliographic record
Abstract
Koreans, have utilized sports to gain prestige into international community and to save propaganda an ideological purposes until the 88 Seoul Olympic Games, and it had very strong elits sport system. A balanced development of elite sports and grassroots spurts, however, has been a critical issue. The academic achievement of the student-athlete in Korea is a currently hot issue. The public is aware of the potential problems regarding the quality of education that student-athlete receive through the efforts of muck-raking joumalists and ex-athletes. There doesn`t appeal to be a positive relationship between athletic participation and academic performance at the school level. Also, the administrative authority responible for policing the athletic programs of student-athlete is likely to neglect the investigation of charges that athletes may be raeiving inferior educations. That the paper identified the level of school-absence for the student-athlete and analyzed the problem based on different sport such as baseball, soccerball and basketball. In conclusion, the paper provided some directions for reforming the system of the school elite-sport: abolishing the quarter and semi-quarter system, considering the academic record for college enterance, establishing the matches at weekend and vacation instead of workday and so on.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.036 | 0.005 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".