TREND: National Center for Education Statistics. Graduation Rates - Athletes at Postsecondary Schools [Archive]: Graduation Rate of Athletes | Educational Institution: THE UNIVERSITY OF TEXAS AT AUSTIN, UNIVERSITY OF FLORIDA, UNIVERSITY OF MINNESOTA-TWIN CITIES, UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN, PENNSYLVANIA STATE UNIVERSITY-MAIN CAMPUS, UNIVERSITY OF MICHIGAN-ANN ARBOR, UNIVERSITY OF WISCONSIN-MADISON, UNIVERSITY OF WASHINGTON-SEATTLE CAMPUS, INDIANA UNIVERSITY-BLOOMINGTON, UNIVERSITY OF ARIZONA, UNIVERSITY OF MARYLAND-COLLEGE PARK, UNIVERSITY OF CALIFORNIA-BERKELEY, UNIVERSITY OF GEORGIA, RUTGERS UNIVERSITY-NEW BRUNSWICK/PISCATAWAY, UNIVERSITY OF COLORADO AT BOULDER, THE UNIVERSITY OF TENNESSEE, UNIVERSITY OF MISSOURI-COLUMBIA, UNIVERSITY OF IOWA, UNIVERSITY OF UTAH, UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL, WEST VIRGINIA UNIVERSITY, UNIVERSITY OF KANSAS MAIN CAMPUS, UNIVERSITY OF WYOMING, UNIVERSITY OF SOUTH DAKOTA | Collegiate Sport: All Sports Total | Gender: Male, Female | Race: All Races/Ethnicities, 2003 - 2006. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 017-013-003
Bibliographic record
Abstract
National Center for Education Statistics. Graduation Rates - Athletes at Postsecondary Schools [Archive]: Graduation Rate of Athletes | Educational Institution: THE UNIVERSITY OF TEXAS AT AUSTIN, UNIVERSITY OF FLORIDA, UNIVERSITY OF MINNESOTA-TWIN CITIES, UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN, PENNSYLVANIA STATE UNIVERSITY-MAIN CAMPUS, UNIVERSITY OF MICHIGAN-ANN ARBOR, UNIVERSITY OF WISCONSIN-MADISON, UNIVERSITY OF WASHINGTON-SEATTLE CAMPUS, INDIANA UNIVERSITY-BLOOMINGTON, UNIVERSITY OF ARIZONA, UNIVERSITY OF MARYLAND-COLLEGE PARK, UNIVERSITY OF CALIFORNIA-BERKELEY, UNIVERSITY OF GEORGIA, RUTGERS UNIVERSITY-NEW BRUNSWICK/PISCATAWAY, UNIVERSITY OF COLORADO AT BOULDER, THE UNIVERSITY OF TENNESSEE, UNIVERSITY OF MISSOURI-COLUMBIA, UNIVERSITY OF IOWA, UNIVERSITY OF UTAH, UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL, WEST VIRGINIA UNIVERSITY, UNIVERSITY OF KANSAS MAIN CAMPUS, UNIVERSITY OF WYOMING, UNIVERSITY OF SOUTH DAKOTA | Collegiate Sport: All Sports Total | Gender: Male, Female | Race: All Races/Ethnicities, 2003 - 2006. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 017-013-003 Dataset: Reports the graduation rate of of athletes receiving athletically related student aid as a percentage the of athlete population completing a 4-year degree within 6 years of first enrollment. This dataset covers graduation rates for athletes receiving athletically related student aid. The graduation rate shows the percent of students who completed a four-year degree within six years of first enrollment. Data are from the Integrated Postsecondary Education Data System (IPEDS) conducted by the NCES. IPEDS involves annual institution-level data collections. All postsecondary institutions that participate in federal programs providing financial assistance to students are required to report data using a web-based data collection system. NOTE: Prior to 2007, institutions who offered athletically related student aid were asked to report, by sport, the number of students receiving aid and whether they completed within 150 percent of normal time to completion. Now, these institutions only need to report a URL where the athletic data is located on their website, when available. http://nces.ed.gov/IPEDS/ Category: Education Subject: Undergraduate Students, College Sports, Educational Attainment, Athletes Source: National Center for Education Statistics The National Center for Education Statistics (NCES) is the primary federal entity in the United States for collecting and analyzing data related to education in the US and other nations. NCES is located within the US Department of Education and the Institute of Education Sciences. The NCES fulfills a congressional mandate to collect, collate, analyze, and report complete statistics on the condition of US education; conduct and publish reports; and review and report on education activities internationally. The NCES is one of four centers (along with the National Center for Education Research, the National Center for Education Evaluation and Regional Assistance, and the National Center for Special Education Research) charged with carrying out the work of the Institute of Education Sciences. http://nces.ed.gov/
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 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 | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.015 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.045 | 0.051 |
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".