Raymond Darwin Cameron III (1941–2014)
Notice bibliographique
Résumé
Ray Cameron was widely known as an Arctic scientist and a caribou biologist.And Ray was just as well known and appreciated by colleagues, friends, and family as social and sociable, generous, and as helpful to others as a human can be.In his community of Ester, Alaska, Ray probably plowed more driveways for friends, hosted more gatherings, and organized more barn and house raisings than anyone else.While Ray was a true-blue scientist, he was just as successful in his many "blue-collar" interests and endeavors.He could move between cogent and meticulously logical scientific argument and then, being an uninhibited entertainer, play his guitar and sing ballads and folksongs.He was an accomplished carpenter.He loved boats, airplanes, diesel cars, and trucks, and overhauled, rebuilt, and maintained many, while keeping his many other "projects" going.After receiving his BS degree from Ursinus College, Collegeville, Pennsylvania, and teaching biology for a couple of years, Ray, wife Jill, and daughter Amy moved in 1966 to Alaska, where Ray pursued a PhD in nutritional physiology under the guidance of Professor Jack R. Luick.Ray followed his PhD in 1972 from the University of Alaska with a 30-year career as a research biologist for the Alaska Department of Fish and Game (ADF&G).His strengths and leanings as a scientist were well recognized in his parallel position as a principal research scientist within the Institute of Arctic Biology and an affiliate professor of wildlife management within the Department of Biology and Wildlife at the University of Alaska Fairbanks.Ray was an untiring advocate for research and a frequent publisher of scientific papers.Ray's PhD research described for the first time the seasonal dynamics of water metabolism and body compositional changes in free-ranging animals at the Reindeer Research Station at Cantwell, Alaska.Ray showed that reindeer were highly adapted to conserve protein-nitrogen even when faced with a low-protein diet.He considered this physiological mechanism as an adaptation to the caribou's foraging on lichens, their main winter forage, which are low in protein.Ray joined ADF&G in 1974 as research biologist studying caribou responses to the Trans-Alaska Pipeline and development in the Prudhoe Bay oilfield.He, with ADF&G collaborator Ken Whitten, was instrumental in using radiocollared caribou to identify the Central Arctic Herd as a distinct herd.Then he led the way to measuring how caribou cows avoided the roads and pipelines after calving.This displacement, together with variation in insect harassment, could explain differences in herd productivity.Relating these findings to estimated productivity of females that calved within and adjacent to the oilfield led to recommendations for caribou management.Ray's findings and publications were not without controversy, and even in declining health, he was writing up the last of his analyses on the Central Arctic Herd.
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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,057 | 0,011 |
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 ».