Where in the World are Canadian Oil and Gas Companies? An Introduction to the Project
Notice bibliographique
Résumé
In April 2013, The School of Public Policy formally launched the Extractive Resource Governance Program, a platform to harness Canadian and international research and technical expertise to assist resource-rich jurisdictions in establishing sustainable and mutually beneficial policies for governance of the extractive sector. The program delivers applied policy research, technical assistance and executive training programs to countries with emerging or established extractive resources, working in collaboration with governments, regulatory bodies, academia, civil society, and industry. Begun in 2011 as an internal research tool for the development of the Extractive Resource Governance Program, this project was conceived as a means to identify jurisdictions where Canadian companies had ongoing projects and activities around the world. This paper introduces the methodology used to answer the question: Where in the world are Canadian oil and gas companies? To answer this question, firm-level data from publicly traded Canadian companies were collected and analyzed culminating in the development of an online tool for public use. This paper accompanies an interactive website launched by The School’s Extractive Resource Governance Program and describes the data available online as well as in the annual reports released by The school. The website and annual reports allow interested users to geographically locate jurisdictions around the world where publicly traded Canadian oil and gas companies have activities, over time. The website is available at http://www.policyschool.ca/research-teaching/teachingtraining/extractive-resource-governance/ergp-map/. While Canada is a well-recognized oil and gas jurisdiction within its own borders, the extent of activity that Canadian companies undertake in the international arena is less well known. For instance, while Natural Resources Canada collects and publishes regular data on Canadian mining assets and activities abroad, it does not do so for the oil and gas sector. Statistics Canada collects information about Canadian direct investment abroad (CDIA)1 in the energy sector, but for the purpose of answering the question posed in this paper, these numbers can be somewhat misleading, as CDIA data solely tracks the first destination of Canadian investment rather than the final destination of investment (which can often be different).2 Frequently, oil and gas companies (like others) use international financial centres to conduct their business operations as part of their global value chain. This can prove problematic when seeking to identify sector-specific data on the final destination of investment. For instance, one of the challenges in using CDIA statistics is the existence of so-called tax-haven countries such as Barbados and the Cayman Islands. Tax-haven countries are low-tax jurisdictions that serve as conduits to the global economy.3 While the capital investment of a Canadian company can initially arrive in a tax-haven country, frequently the investment is ultimately bound for a third-market destination, for instance one in Latin America or the United States.3 The use of tax-haven countries as conduits in financing outbound investments distorts CDIA statistics, making it difficult to use these data to determine the presence of Canadian oil and gas companies around the globe. This paper provides a comprehensive overview of the methodology used in the collection of data for the Where in the World (hereafter WIW) project. It begins by presenting the definition of a Canadian oil and gas company (O&G) within the context of the WIW project, followed by a description of the types of O&G companies considered in the analysis. It also provides a description of the data sources used in the extraction of financial and operating statistics, and outlines the various types of data used to determine the scope of O&G activities of Canadians companies abroad.
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 | 0,004 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,005 | 0,013 |
| Études des sciences et des technologies | 0,015 | 0,005 |
| Communication savante | 0,012 | 0,004 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,017 | 0,002 |
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 ».