TREND: National Center for Education Statistics. Fall Enrollment - Postsecondary Education: Full-Time Undergraduate Students | Educational Institution: University of North Carolina at Chapel Hill | Gender: All Gender | Race: All Races/Ethnicities, Black Non-Hispanic, Hispanic, 2001 - 2014. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Database-ID: 017-005-003
Notice bibliographique
Résumé
National Center for Education Statistics. Fall Enrollment - Postsecondary Education: Full-Time Undergraduate Students | Educational Institution: University of North Carolina at Chapel Hill | Gender: All Gender | Race: All Races/Ethnicities, Black Non-Hispanic, Hispanic, 2001 - 2014. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Database-ID: 017-005-003 Dataset: Presents a count of full-time undergraduate students enrolled in postsecondary institutions in the United States and Washington, DC, Puerto Rico, and the US Virgin Islands. Undergraduates include those enrolled in a 4- or 5-year bachelor's degree program, an associate's degree program, or a vocational or technical program. Undergraduates are considered full-time if 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), a web-based data collection system, conducted by the National Center for Education Statistics. All postsecondary institutions that participate in or are applicants for participation in any federal programs providing financial assistance to students are required to report data using the IPEDS. More than 7,500 institutions complete IPEDS surveys each year. These include research universities, state colleges and universities, private religious and liberal arts colleges, for-profit institutions, community and technical colleges, non-degree-granting institutions (eg, beauty colleges), and others. IPEDS collects data on postsecondary education in the United States in seven areas: institutional characteristics, institutional prices, enrollment, student financial aid, degrees and certificates conferred, student persistence and success, and institutional human and fiscal resources. The total enrollment data presented here are based on fall enrollment, an annual component of IPEDS that collects data on the number of students enrolled in the fall at postsecondary institutions. Data are reported by race/ethnicity; gender; enrollment status (part-time or full-time); and or level of study (undergraduate or graduate); also included are counts of nonresident aliens (ie, a person who is not a citizen or national of the United States and who is in this country on a visa or temporary basis and does not have the right to remain indefinitely) enrolled in postsecondary institutions. Students reported include those enrolled in courses creditable toward a degree or other formal award; students enrolled in courses that are part of a vocational or occupational program, including those enrolled in off-campus centers; and high school students taking regular college courses for credit. Fall enrollment is collected in the spring following the fall term covered by the data collection. Other modules are conducted at other times of year. http://nces.ed.gov/IPEDS/ Category: Education Subject: Higher Education, College Students, Undergraduate Students, Full-Time Students, College Enrollment 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/
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
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 tête enseignante, 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 ».