Where in the World are Canadian Oil and Gas Companies? 2011
Notice bibliographique
Résumé
Canada is well recognized for its prominence as an oil and gas jurisdiction in regard to its resources within its own borders. However, there is little available analysis and information regarding the presence of Canadian companies in the international arena. Begun in 2011 as an internal research tool for the development of the Extractive Resource Governance Program, this project seeks to answer the vital question: Where in the world are Canadian oil and gas companies? To answer this question, firm-level data from publicly traded Canadian companies are collected and analyzed, culminating in the development of an online tool for public use. This map allows interested users to geographically locate jurisdictions around the world where publicly traded Canadian oil and gas (hereafter O&G) companies have activities, over time. The map is available at http://www.policyschool.ca/ research-teaching/teaching-training/extractive-resource-governance/ergp-map/. This project, hereafter referred to as the WIW project, provides a measure that quantifies Canadian oil and gas activity around the world and identifies key jurisdictions that are of particular interest to Canadian O&G companies. The data collected holds value for various stakeholders such as governments, regulatory bodies, academia, civil society, and industry across the extractive resource spectrum. Prior to further discussion regarding the 2011 annual data results, it is valuable to provide a brief overview of the methodology used in the collection of data for this research project. The WIW project examines the global activities of Canadian O&G companies in 218 countries spanning seven international regions of analysis.1 The aim of the WIW project is to examine the international presence of Canadian companies in foreign countries. As such, it is important to note that this project does not provide information related to the activities of Canadian companies within Canada’s border, such as the number of active companies or levels of production. The focus of this project is on two types of Canadian O&G companies, namely exploration and production (E&P) companies and service companies. For the purposes of the WIW project, an O&G company is defined to be “Canadian” if it meets two selection criteria: (i) the company must have its headquarters (or head office)2 in Canada; and (ii) the company must be publicly traded on a Canadian exchange.3 Companies must fulfill both selection criteria simultaneously to be considered a Canadian O&G company, and thus be included in the findings of this project. This report, the first in a series, provides an extensive account of annual data collected in the WIW project for the 2011 year of study. It begins with an overview of the international activities of Canadian E&P companies, presenting the level of activities in a regional context, as well as on a country basis. The report then continues by providing the same analysis for Canadian O&G service companies.
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 | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,005 | 0,013 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,005 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 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 ».