2020-January-01-Dr Ingrid Luffman honored with Distinguished Alumni Award
Notice bibliographique
Résumé
JOHNSON CITY – Dr. Ingrid Luffman, an assistant professor in the Department of Geosciences at East Tennessee State University, was recently honored with a 2019-2020 Distinguished Alumni Award from the Department of Geography at the University of Tennessee-Knoxville. Luffman, who graduated from UTK in 2013 with a Ph.D. in geography with a concentration in spatial analysis and watershed dynamics, received the award in the Early Career category for individuals who graduated within the past 10 years. Awards are also given in Mid-Career (10-25 years since graduation) and Lifetime (more than 25 years since graduation) categories. “The award is a great honor, and my sincere thanks go to the faculty at UTK Geography who challenged and guided me during my time there,” Luffman said. “Upon reflecting on the past few years during grad school and since graduation, I identified three ways the department helped to nurture students. “First, they inspired students by leading by example. Second, they included students in departmental activities so that we developed professional and personal relationships with faculty and students who now form part of our professional network. Third, they challenged students to explore areas of interest, present at conferences, and submit manuscripts for publication. These helped to set me off on solid footing to succeed in academia. “My sincere thanks go to two professors who had a substantial impact on my success, my advisor Dr. Liem Tran and the then-chair of the department, Dr. Carol Harden.” Luffman also holds a B.S. in mathematics and science and an M.S. in earth sciences from the University of Ottawa in Canada. She joined the ETSU faculty in 1997 and teaches courses in physical geography, geomorphology, hydrology, natural resources management and spatial analysis. She also co-teaches the Department of Geosciences’ field experience course and has led students on trips to such varied locations as the Colorado Plateau, Puerto Rico, the Rio Grande Valley, Hawaii and Ontario, Canada. Luffman’s main areas of research are karst hydrology, watershed restoration, soil erosion and medical geography. Among her most visible projects is a “Citizen Scientist” effort using crowdsourced data on water depth from visitors to Johnson City’s Founders Park to analyze how Brush Creek responds to rainfall events. Through her involvement with the Boone Watershed Partnership, which she has served as vice president, she has been instrumental in stream restoration projects at Sinking Creek and Beaver Creek. In addition, she and Dr. Arpita Nandi, chair of the Department of Geosciences, have several ongoing research projects at ETSU’s Eastman Valleybrook Campus.
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 | 0,002 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,006 | 0,002 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,003 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,402 | 0,409 |
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 ».