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Record W6901647613 · doi:10.6068/dp163d6d4767630

TREND: National Center for Education Statistics. Fall Enrollment - Postsecondary Education: Full-Time Undergraduate Students | State: California | Gender: All Gender | Race: White Non-Hispanic, 2012. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 017-005-003

2018· other· en· W6901647613 on OpenAlexaboutno aff

Bibliographic record

VenueData Planet · 2018
Typeother
Languageen
FieldDecision Sciences
TopicStock Market Forecasting Methods
Canadian institutionsnot available
Fundersnot available
KeywordsStatistics educationGraduation (instrument)Postsecondary educationVocational educationHigher educationQuarter (Canadian coin)Liberal arts educationHistorically black colleges and universitiesData collection

Abstract

fetched live from OpenAlex

National Center for Education Statistics. Fall Enrollment - Postsecondary Education: Full-Time Undergraduate Students | State: California | Gender: All Gender | Race: White Non-Hispanic, 2012. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-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 enrollment data here reports the number of students enrolled in the fall of the reference year 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 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)0.011
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.081
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0040.002
Open science0.0120.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0320.003

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 head0.088
GPT teacher head0.402
Teacher spread0.314 · 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; both teacher heads agree on what is shown here.

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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