Trend 2001 - 2013. National Center for Education Statistics. Applications/Admittance - Postsecondary Schools: Enrolled 1st Year PT - Women | Country: USA | State: South Dakota | Institution by State: SIOUX VALLEY HOSPITAL-SCHOOL OF RADIOLOGIC TECHNOLOGY, 2001-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 017-003-015.
Bibliographic record
Abstract
National Center for Education Statistics (2015). Applications/Admittance - Postsecondary Schools: Enrolled 1st Year PT - Women | Country: USA | State: South Dakota | Institution by State: SIOUX VALLEY HOSPITAL-SCHOOL OF RADIOLOGIC TECHNOLOGY, 2001-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 017-003-015. Dataset: Reports the enrollment of female students who have completed less than the equivalent of 1 full year of undergraduate work; that is, less than 30 semester hours (in a 120-hour degree program) or less than 900 contact hours, buys state and institution. A part-time undergraduate student is defined as a student enrolled for either 11 semester credits or less, or 11 quarter credits or less, or less than 24 contact hours a week each term. 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. The year noted represents the start of the school year; for example, 2006 represents data covering the 2006-2007 school year. NOTE: For all data sets, FIPS code for the school facility are provided. County and state national numbers are calculated based on the given FIPS codes, and national numbers are created as a roll-up of the detailed numbers. Integrated Postsecondary Education Data System (IPEDS) datasets are labeled using a two-year notation specifying the start year and the end year and data files are exported by start year: for example, the 2006-2007 school year noted as 2006 represents enrollment 2006-2007. Also note that odd years or even years refer to the time period being referenced, not the year in which the data are collected: for example, during the 2011-2012 data collection, fall enrollment in 2011 (odd year) is collected in spring 2012. For information on the statistical standards utilized by the National Center for Education Statistics (NCES), visit http://nces.ed.gov/statprog/index.asp . Category: Education 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/ Subject: Undergraduate Students, Part-Time Students, College Enrollment, Higher Education, Females
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.016 |
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".