MétaCan
Menu
Back to cohort
Record W6920091924 · doi:10.6068/dp15f2f83f22282

RANKING: National Center for Education Statistics. Student Financial Aid and Net Price - Postsecondary Education: Public Institutions - Financial Aid by Income Level | Indicator: Average amount of grant and scholarship aid in income level (30,001-48,000),, 2009. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 017-016-010

2017· other· en· W6920091924 on OpenAlexaboutno aff

Bibliographic record

VenueData Planet · 2017
Typeother
Languageen
FieldChemistry
TopicAdvanced Physical and Chemical Molecular Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsStatistics educationScholarshipPostsecondary educationVocational educationHigher educationQuarter (Canadian coin)Family incomeStudent loan

Abstract

fetched live from OpenAlex

National Center for Education Statistics. Student Financial Aid and Net Price - Postsecondary Education: Public Institutions - Financial Aid by Income Level | Indicator: Average amount of grant and scholarship aid in income level (30,001-48,000),, 2009. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 017-016-010 Dataset: Provides statistics on Title IV financial aid received by first-time undergraduate students attending public US postsecondary institutions, based on 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. 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. 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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.096
Threshold uncertainty score0.322

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.021
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0060.020
Science and technology studies0.0010.000
Scholarly communication0.0030.003
Open science0.0030.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0960.131

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 head0.035
GPT teacher head0.324
Teacher spread0.289 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueData PlanetSame topicAdvanced Physical and Chemical Molecular InteractionsFrench-language works237,207