TREND: National Center for Education Statistics. National Postsecondary Student Aid Study: Public Institutions - Average Net Price | State: Alabama | Educational Institution: The University of Alabama | Indicator: Average net price-students receiving grant or scholarship aid,, 2009 - 2015. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 017-016-012
Bibliographic record
Abstract
National Center for Education Statistics. National Postsecondary Student Aid Study: Public Institutions - Average Net Price | State: Alabama | Educational Institution: The University of Alabama | Indicator: Average net price-students receiving grant or scholarship aid,, 2009 - 2015. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 017-016-012 Dataset: Provides statistics on the average net price for first-time, full-time undergraduate students receiving Title IV federal financial aid attending public US postsecondary institutions, by income level. Title IV aid to students includes grant aid, work study aid, and loan aid. Income refers to the income that was used by the institution’s financial aid office to determine the student’s Expected Family Contribution. Full-time, first-time degree-/certificate-seeking undergraduates are those students with no prior postsecondary experience enrolled in the fall semester of a 4- or 5-year bachelor's degree program, an associate's degree program, or a vocational or technical program below the baccalaureate level, 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. Average net price is generated by subtracting the average amount of federal, state or local government, or institutional grant and scholarship aid from the total cost of attendance. Total cost of attendance is the sum of published tuition and required fees (lower of in-district or in-state), books and supplies and the weighted average room and board and other expenses. 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 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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.010 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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.
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".