SPE Strong: Strengthening Our Core: The Influential Yet Delicate Balance of Mentoring
Notice bibliographique
Résumé
President's column “The delicate balance of mentoring someone is not creating them in your own image, but giving them the opportunity to create themselves.”—Steven Spielberg One of my focus areas as SPE President is strengthening the feedstock of incoming talent into our industry. In my January column, I talked about industrywide initiatives under way to attract and retain this talent. This month, I want to engage with our members on the importance of effectively mentoring these bright, young minds. While I reflected upon setting my goals for the new year, I began to think about all of the important people in my career who not only helped me set high goals, but also provided support and guidance in achieving those goals. Some people were assigned to be my mentor, while others did it informally by providing advice during opportune moments. Truthfully, it does not matter how they became my mentor. The key point is that they were. Coaching a young professional in a technical position is critical to their success, but developing a person to have the interpersonal skills to navigate this industry is equally important. For 2020, my goals include being both a mentor and mentee. While I believe I have much to contribute to our younger members, I also have much to learn. I want to encourage more of our members to set goals around mentoring and want to make this the month where we take time to recognize and thank those who have had a positive impact on us as our mentors. Thank you, Don Patterson (retired Chevron), for mentoring me through my years of supervising workover rigs in northern Alberta. You were tasked with mentoring all the young engineers who were supervising rigs in northern Alberta, and phoning in our morning reports to you was often the most anxious part of our day. After looking back, your critiques were the necessary constructive feedback we needed. Fred Brownlee (retired Chevron) and John Patterson (retired ConocoPhillips) were two of my most influential mentors, both in helping me grow my technical skills and for connecting me with industry peers. Mike Mooney (retired ConocoPhillips) taught me how to be a great manager, how to conduct employee performance assessments properly, and how to set my focus on value-adding goals. Karen Draper (retired S&N Pump) and Carol Magney Grande (Magney Grande) provided mentorship on how to succeed in this industry as a working mother, and also gave me my first opportunity to serve on an SPE committee. Finally, I must thank Dr. Jeff Spath (SPE 2014 President). He became my mentor when I first served on the SPEI Board as a Technical Director and has continued to provide critical guidance and constructive feedback since. Without his help, I would not be writing this column as your 2020 SPE President.
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 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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».