Notice bibliographique
Résumé
Amanda Bryant-Friedrich (Fig. 4.1) is Dean of the College of Graduate Studies at the University of Toledo (Toledo). Amanda was born in Enfield, NC, a small town about fifteen miles from the North Carolina-Virginia border. Her father was a farmer and her mother was a housewife. Her father only had a sixth-grade education and did not read or write much. Her mother graduated from high school in Enfield. Her maternal grandfather was a child of a slave and her mother was one of twenty-two children from two wives. They lived on a farm owned by a man named Whitaker. As her mother’s family had been enslaved by the family that owned the farm, her last name was Whitaker. Amanda’s paternal grandfather was a businessman who owned his own farm, on the other side of town. He was also involved in the illegal production of moonshine. Amanda went to Unburden Elementary School in Enfield. Her first experience with school was dramatic, because she lived at the end of a dirt road and was really isolated from other families. The first day she went to kindergarten she saw all those little kids, and she was afraid because there were too many people there. But the daughter of her mother’s best friend was there and invited her to come in to the classroom. Her first science class was in general science in fourth or fifth grade. She was so fascinated, she changed her mind about her future career of secretary or teacher and decided on science. Amanda went to Enfield Middle school in Halifax County, then the second poorest county in the state. The school had only basic infrastructure for science classes. She remembers her middle school chemistry teacher, Ms. Crowley, who told the students to put a mercury thermometer in a cork and Amanda accidently stuck it in her hand. They did not have much in the school, but her teacher taught her what she could.
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) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 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 | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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 ».