Elizabeth Gaetjens Interview, 6 June 2013
Notice bibliographique
Résumé
Betty Gaetjens is resident of Judson Place who has recently celebrated her 100th birthday. She has lived in Cleveland for her entire life, and graduated from Flora Stone Mather College in 1935. She talks about where she grew up and where she went to school. She also remembers going on various trips with her parents and later her husband and two sons. She tells about how she and her husband took their kids to all 50 states and 6 Canadian provinces before they were out of high school. A majority of what Mrs. Gaetjens said revolved around her involvement with the Great Books Organization. A group that got together and read books from the top 100 books, which has its origins in the University of Chicago. When it came to Cleveland, Mrs. Gaetjens joined the organization and eventually she became the leader her group. Often she used her experiences with the Great Books group to discuss her ideas on the importance of education, especially with finding oneself.Betty Gaetjens is resident of Judson Place who has recently celebrated her 100th birthday. She has lived in Cleveland for her entire life, and graduated from Flora Stone Mather College in 1935. She talks about where she grew up and where she went to school. She also remembers going on various trips with her parents and later her husband and two sons. She tells about how she and her husband took their kids to all 50 states and 6 Canadian provinces before they were out of high school. A majority of what Mrs. Gaetjens said revolved around her involvement with the Great Books Organization. A group that got together and read books from the top 100 books, which has its origins in the University of Chicago. When it came to Cleveland, Mrs. Gaetjens joined the organization and eventually she became the leader her group. Often she used her experiences with the Great Books group to discuss her ideas on the importance of education, especially with finding oneself.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».