TREND: National Center for Education Statistics. Fall Enrollment - Postsecondary Education: Full-Time Undergraduate Students | Educational Institution: University of North Carolina at Chapel Hill | Gender: All Gender | Race: All Races/Ethnicities, Black Non-Hispanic, Hispanic, 2001 - 2014. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Database-ID: 017-005-003
Bibliographic record
Abstract
National Center for Education Statistics. Fall Enrollment - Postsecondary Education: Full-Time Undergraduate Students | Educational Institution: University of North Carolina at Chapel Hill | Gender: All Gender | Race: All Races/Ethnicities, Black Non-Hispanic, Hispanic, 2001 - 2014. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Database-ID: 017-005-003 Dataset: Presents a count of full-time undergraduate students enrolled in postsecondary institutions in the United States and Washington, DC, Puerto Rico, and the US Virgin Islands. Undergraduates include those enrolled in a 4- or 5-year bachelor's degree program, an associate's degree program, or a vocational or technical program. Undergraduates are considered full-time if enrolled for 12 or more semester credits, or 12 or more quarter credits, or 24 or more contact hours a week each term. Data are from the Integrated Postsecondary Education Data System (IPEDS), a web-based data collection system, conducted by the National Center for Education Statistics. All postsecondary institutions that participate in or are applicants for participation in any federal programs providing financial assistance to students are required to report data using the IPEDS. More than 7,500 institutions complete IPEDS surveys each year. These include research universities, state colleges and universities, private religious and liberal arts colleges, for-profit institutions, community and technical colleges, non-degree-granting institutions (eg, beauty colleges), and others. IPEDS collects data on postsecondary education in the United States in seven areas: institutional characteristics, institutional prices, enrollment, student financial aid, degrees and certificates conferred, student persistence and success, and institutional human and fiscal resources. The total enrollment data presented here are based on fall enrollment, an annual component of IPEDS that collects data on the number of students enrolled in the fall at postsecondary institutions. Data are reported by race/ethnicity; gender; enrollment status (part-time or full-time); and or level of study (undergraduate or graduate); also included are counts of nonresident aliens (ie, a person who is not a citizen or national of the United States and who is in this country on a visa or temporary basis and does not have the right to remain indefinitely) enrolled in postsecondary institutions. Students reported include those enrolled in courses creditable toward a degree or other formal award; students enrolled in courses that are part of a vocational or occupational program, including those enrolled in off-campus centers; and high school students taking regular college courses for credit. Fall enrollment is collected in the spring following the fall term covered by the data collection. Other modules are conducted at other times of year. http://nces.ed.gov/IPEDS/ Category: Education Subject: Higher Education, College Students, Undergraduate Students, Full-Time Students, College Enrollment 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 | 0.003 | 0.025 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.026 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.106 | 0.105 |
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".