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Record W6976162310 · doi:10.6068/dp14ba729e67972

Trend 2004 - 2013. National Center for Education Statistics. Fall Enrollment - Postsecondary Schools: Part-Time Non-Degree-Seeking Undergraduates | Country: USA | Institution: CENTRAL METHODIST UNIVERSITY-COLLEGE OF GRADUATE & EXTENDED STUDIES | Gender: All Gender | Race: All Races/Ethnicities, 2004-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 017-005-014.

2015· other· en· W6976162310 on OpenAlexaboutno aff

Bibliographic record

VenueData Planet · 2015
Typeother
Languageen
FieldSocial Sciences
TopicHealth, Education, and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsStatistics educationPostsecondary educationGraduation (instrument)Vocational educationHigher educationQuarter (Canadian coin)Liberal arts educationInstitutionCommunity college

Abstract

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National Center for Education Statistics (2015). Fall Enrollment - Postsecondary Schools: Part-Time Non-Degree-Seeking Undergraduates | Country: USA | Institution: CENTRAL METHODIST UNIVERSITY-COLLEGE OF GRADUATE & EXTENDED STUDIES | Gender: All Gender | Race: All Races/Ethnicities, 2004-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 017-005-014. Dataset: Presents a count of part-time non-degree-seeking undergraduate students enrolled in postsecondary institutions in the United States and Washington, DC, Puerto Rico, and the US Virgin Islands. Included in this count are part-time students enrolled in courses for credit who are not recognized by the institution as seeking a degree or other formal award. At the undergraduate level, this is intended to include students enrolled in vocational or occupational programs. Undergraduates are considered part-time if enrolled for either less than 12 semester or quarter credits, or less than 24 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 6,700 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. 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

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.064
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.182
GPT teacher head0.386
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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