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Record W6920114057 · doi:10.6068/dp16a033019e023

TREND: National Center for Education Statistics. Student Financial Aid and Net Price - Postsecondary Education: Undergraduate Enrollment - Financial Aid Cohort | Educational Institution: SUNY Maritime College | ID: SCUGFFN | Indicator: Total number of full-time first-time undergraduates - financial aid cohort, 2008 - 2017. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 017-016-003

2019· other· en· W6920114057 on OpenAlexaboutno aff

Bibliographic record

VenueData Planet · 2019
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPostsecondary educationLiberian dollarBaccalaureate DegreeQuarter (Canadian coin)Statistics educationHigher educationVocational educationCohortWork (physics)

Abstract

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datasets.shared.infosheet.CitationMgr@6a0 Dataset: Provides statistics on full-time first-time undergraduate students attending US postsecondary institutions who are receiving Title IV federal student aid. Title IV aid to students includes grant aid, work study aid, and loan aid. Full-time, first-time degree-/certificate-seeking undergraduates are those enrolled in a 4- or 5-year bachelor's degree program, an associate's degree program, or a vocational or technical program below the baccalaureate level, who have no prior postsecondary experience, and are 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) 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. This IPEDS component contains data on the number of full-time, first-time degree-/certificate-seeking undergraduate students and all undergraduate students who receive different types of student financial aid, including grants and loans, from different sources at each institution. Sources and types of aid reported for full-time, first-time degree/certificate-seeking undergraduate students include federal grants, Pell grants, other federal grants, state/local grants, grants from the institution, federal and nonfederal student loans. Types of aid reported for all undergraduates include total grants, Pell grants and federal loans. Included are the total and average dollar amount of aid received by these students. The dataset also contains the average net price at each institution for the following two groups: (1) full-time, first-time degree-/certificate-seeking undergraduate students who receive grant and scholarship aid; and (2) full-time, first-time degree-/certificate-seeking undergraduate students who receive Title IV federal student aid. For public institutions, group 1 and group 2 include only students who pay the in-district or in-state tuition rate. Data are presented by fiscal year. https://nces.ed.gov/ipeds/datacenter/DataFiles.aspx Category: Education Subject: Financial Support, Costs, Undergraduate Students, Federal Aid, Undergraduate 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/

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient 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 score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.004
Open science0.0050.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0150.003

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 head0.012
GPT teacher head0.278
Teacher spread0.266 · 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
Published2019
Admission routes1
Has abstractyes

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