Upping the Ante on Technology and Leadership in Challenging Market Conditions
Notice bibliographique
Résumé
Pillars of the Industry Part 1: John Wishart, Lloyd’s Register Science and engineering is the lifeblood of my career and a passion since sixth form. It was my teacher who first encouraged me to enroll in engineering, which later led me to qualify with a degree in chemical engineering. My first job was with John Brown E&C in London where I worked on projects in the oil and gas industry. After a few years, my job with BP took me from the engineering contracting sector to a role focused on project and facilities engineering. My next career step was joining the then newly founded Genesis Oil & Gas, moving to Aberdeen and then to Houston, by which time the company was owned by Technip and later I became Technip’s US chief executive officer. While it is true that the mistakes you make along the way help you learn and progress in life, I can say that I have truly gained a lot personally and professionally from the journey I have made and the people I have worked with. When you start out in the world of work, knowing how to take your educational knowledge to the market place and learning how to apply it in different ways in different situations is critical to your success in life. Part 2: Judith Dwarkin, ITG Investment Research As energy in all its forms is essential to both economy and life in general, the challenges associated with finding, harvesting, distributing, and using it efficiently and responsibly are enduring. And whether the current downturn in the global oil market is, or is not, a watershed moment, it is important to remember that as an industry professional you have been presented with a massive summons to action, which also comes with a massive opportunity to shine. I was raised in Fernie, British Columbia, Canada, a small coal mining and lumber town in Western Canada well acquainted with commodity cycles. After completing my undergraduate and master’s degrees, I travelled to Australia on a Commonwealth scholarship to pursue a PhD in natural resource economics. During my academic career, I became interested in public policy and commodity markets and on returning home to Western Canada after graduating, I was fortunate to find a way to pursue both these topics at the Alberta Department of Energy. At the time, the provinces and Canada’s federal government were in the process of dismantling a plethora of energy policies and regulations that imposed various types of controls on domestic oil and gas upstream development and markets, as well as internal and external trade. This period of deregulation was a dynamic and challenging time to work on energy policy and, as it turned out, a great entry point for my career in the industry.
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 | 0,012 | 0,020 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,017 | 0,030 |
| Communication savante | 0,026 | 0,023 |
| Science ouverte | 0,001 | 0,017 |
| Intégrité de la recherche | 0,008 | 0,019 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,032 | 0,012 |
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 ».