Notice bibliographique
Résumé
President's column SPE can help small companies navigate financial understanding Half of my career has been in the producer side of the business and the other half with a service company. The service experience has been with large organizations. It’s rather a nice place to be. My producer experience has been primarily with tiny, small, and intermediate companies. The experience quite literally has highs and lows. Imagine a cartoon character jumping off a cliff—at first, you feel like a bird but as the ground approaches you are terrified and shortly thereafter you are quite compact, so to speak. I have had moments of pure euphoria as a small producer (usually the 15 minutes after a capital raise or a sale event), but more often it is panic, terror, and a lot of out-of-control times when you wished you had a finance degree or two. It may not seem intuitive, but engineers need to understand financial matters, and that’s where SPE comes in, with connection opportunities to places other than your technical discipline. There are a lot of us technical types trapped or living in the small cap producer world or technical innovator space. We don’t get much support at technical conferences. We don’t get much time to do technical things. Little producers are very often forgotten. Small technology providers rarely get love, and often they have little time allotted to pitch their idea. I’m going to pay some attention to that group in this column. I’m going to promise some good things in the future. Early in my career—when the local price of oil was less than $10/bbl and the future was extremely bleak—I was fortunate enough to encounter people who held very lofty positions and took the time to care about this lonely new grad. In the early 1980s, Gerry Maier O.C. (the Order of Canada) was president and CEO of TransCanada Pipelines, a large public company located in an office towering above Toronto’s financial district. I was a struggling new grad working on the periphery of the industry, but Maier took me under his wing. He gave me all the attention I needed to discuss establishing a petroleum engineering chair at the University of Alberta, our alma mater. Even after all these years, Maier has not forgotten that meeting. He has met with other CEOs, Canadian prime ministers, and even royalty, yet Maier remembers that meeting with me. He has no idea how it kept me going at one of the darkest moments of my career. He remembered the little guy. To this day, I try to pay back that generosity by modeling that behavior. For example, I hope that Tarun Kumar from UPES in Dehradun, India, is encouraged for life because I took the time to encourage him, after disagreeing strongly with a technical point he made in a student paper competition. Maybe someday he will be involved in a small cap Indian producer listed on the Mumbai exchange.
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 | 0,028 | 0,065 |
| 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 | 0,020 | 0,021 |
| Communication savante | 0,013 | 0,016 |
| Science ouverte | 0,002 | 0,022 |
| Intégrité de la recherche | 0,006 | 0,012 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,034 | 0,006 |
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 ».