MAP: National Center for Education Statistics. National Postsecondary Student Aid Study: Undergraduate Enrollment - Financial Aid Cohort | State: Alabama | Indicator: Total number of undergraduates - financial aid cohort, 2012. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 017-016-003
Bibliographic record
Abstract
National Center for Education Statistics. National Postsecondary Student Aid Study: Undergraduate Enrollment - Financial Aid Cohort | State: Alabama | Indicator: Total number of undergraduates - financial aid cohort, 2012. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 017-016-003 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. The National Postsecondary Student Aid Study (NPSAS) examines the characteristics of students in postsecondary education in the United States, with focus on how their education is financed. The purpose of NPSAS is to compile a comprehensive research dataset, based on student-level records, on financial aid provided by the federal government, the states, postsecondary institutions, employers, and private agencies, along with student demographic and enrollment data. NPSAS is the primary source of information used to inform public policy on such programs as the Pell grants and Stafford loans. NPSAS data come from multiple sources, including institutional records, government databases, and student interviews. Detailed data on participation in student financial aid programs are extracted from institutional records. Data about family circumstances, demographics, education and work experiences, and student expectations are collected from students through a web-based multi-mode interview (self-administered and computer-assisted telephone). http://nces.ed.gov/surveys/npsas/index.asp 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 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 | 0.002 | 0.022 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.020 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.164 | 0.115 |
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".