Trend 2003 - 2014. National Center for Education Statistics. Graduation Rates - All Students at Postsecondary Schools: Student Population | Country: USA | State: New Jersey | Institutions by State: Rutgers University-New Brunswick | Gender: All Genders | Race: All Races/Ethnicities, 2003-2014. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 017-012-001.
Notice bibliographique
Résumé
National Center for Education Statistics (2017). Graduation Rates - All Students at Postsecondary Schools: Student Population | Country: USA | State: New Jersey | Institutions by State: Rutgers University-New Brunswick | Gender: All Genders | Race: All Races/Ethnicities, . Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 017-012-001. Dataset: Reports a count of the cohort of students who enrolled in a 4-year institution 6 years prior to the year shown. Totals exclude those who died or were disabled; and those who left school to serve in the armed forces or serve on some other official mission (eg, Peace Corps, church mission). The data are use to calculate the graduation rate. This dataset covers graduation rates at 4-year colleges and universities. The rate reflects the percent of students who completed their degrees within six years of first enrollment. 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. Integrated Postsecondary Education Data System (IPEDS) datasets are labeled using a two-year notation specifying the start year and the end year and data files are exported by start year: for example, the 2006-2007 school year noted as 2006 represents enrollment 2006-2007. Also note that odd years or even years refer to the time period being referenced, not the year in which the data are collected: for example, during the 2011-2012 data collection, fall enrollment in 2011 (odd year) is collected in spring 2012. For information on the statistical standards utilized by the National Center for Education Statistics (NCES), visit http://nces.ed.gov/statprog/index.asp . Also see About US Higher Education Statistics at http://data-planet.libguides.com/UShighered Category: 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/ Subject: Higher Education, Undergraduate Students, College Enrollment
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,023 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,005 | 0,020 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,004 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,074 | 0,084 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».