Intercollegiate Athletics: Four-Year Colleges' Experiences Adding and Discontinuing Teams
Bibliographic record
Abstract
A letter report issued by the General Accounting Office with an abstract that begins "The number of women participating in intercollegiate athletics at four-year colleges and universities increased substantially between school years 1981-82 and 1998-99, while the number of men participating increased more modestly. The total number of women's teams increased by 3,784 teams, compared to an increase of 36 men's teams. In all, 963 schools added teams and 307 discontinued teams since 1992-93. The two factors cited most often as greatly influencing the decision to add or discontinue teams were the need to address student interest in particular sports and the need to meet gender equity goals and requirements. Schools that discontinued men's teams also found the need to reallocate the athletic budget to other sports. Colleges and universities that discontinued a team typically took three months or less between originating the proposal and making the final decision. Most schools informed members of the campus community of the possibility that the team would be discontinued, and most held meetings with campus groups before making the final decision. Most schools offered to help affected athletes transfer to other schools, and students receiving athletics-related financial aid continued to receive financial aid for at least some period after the team was disbanded. Schools that were able to add one or more teams without discontinuing others used various strategies to increase athletic program revenue and contain costs. Some schools relied on the institution's general fund, while others used private sources and athletic facility rental fees."
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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 | 0.019 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.018 | 0.005 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.005 | 0.013 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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; 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".