Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
occurred on 13th August 2017 at the age of 68. Robert (Bob) was born in Wolverhampton on 11th August 1949, the son of Jack and Mary. His school days were spent with his family in Canterbury where he was heavily involved in the Boys' Brigade. At an early age he joined Military Survey where, after his initial training as a cartographer, he became a photogrammetrist. In 1974, he decided to accept a position with Applied Photogrammetric Sciences in Canada where, after becoming established, he set up a new office in North Dakota. On his return to the United Kingdom in 1978, he worked for Geosurvey International Ltd before moving to the Survey and General Instrument Co. Ltd (SGI) as the representative for the Contraves mapping system. His personality suited a move into sales and he later represented SGI as the agency for Kern and Helava. With enormous changes in the commercial structure of the international photogrammetric industry, Taft found himself, almost by default, working for LH Systems and then Leica Geosystems. Initially he was responsible for a broad range of photogrammetric products but, after several years, his brief concentrated mainly on aerial camera systems with the territory he covered significantly increased. He was known to comment that his customers were so widespread that he seemed to spend nearly as much time in the air as he spent at home. In an industry where the technology was changing faster than ever before, he always needed to keep abreast of developments. As the stress began to show, an early retirement deal was negotiated and he spent his few remaining working years as a court usher, a job which he thoroughly enjoyed.
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.
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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,021 |
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 découle