Analyzing The Harper Government's Decision Making Process on Building and Funding the Canadian High Arctic Research Station
Notice bibliographique
Résumé
The objective of this Capstone project is to analyze the decision-making processes of Prime Minister Stephen Harper’s government with regard to its Northern vision and of the establishment of a Canadian High Arctic Research Station (CHARS). Investigation of policy that supports this Northern vision will be reviewed throughout this Capstone to understand how the Harper government is implementing its announcements. The importance of the Arctic research station (CHARS) will be discussed throughout; specifically, emphasis will be placed on the changing environment in Northern Canada that has resulted from climate change. Global warming is causing changes to the arctic landscape, allowing once largely inaccessible Northern maritime passages to become accessible year-round. Additionally, there is currently no active body in Northern Canada that monitors or enforces Canadian claims to sovereignty over its Northern borders. These are significant issues that may influence the decision-making process of the Harper government while addressing the CHARS project. This Capstone project will emphasize the significance of the Canadian High Arctic Research Station (CHARS) and the government’s approach to its implementation. Specifically, strategic investment in the CHARS will help demonstrate Canada’s affirmation of its Northern sovereignty. Additionally, it will demonstrate that this project is essential to future investment and development in Northern Canada. The CHARS initiative will be scrutinized through the employment of decision-making models; these models will assist in the investigation of the decision-making process that is currently being pursued by the Harper government. In addition, data from investigation and literature review of the CHARS project and current Northern development in Canada will further emphasize the importance of the decisions currently being made surrounding Northern development. The inability of the federal government to address the implementation of the CHARS in a swift manner will be discussed throughout the paper, again with emphasis placed on the decision-making models. Using this type of analysis, one will understand why a project that has been promoted as integral to the future development of Northern Canada1 has been confronted with significant delays in its implementation. Throughout the analysis, a qualitative review of gains, losses and barriers to implementing the CHARS will be presented and investigated. Ultimately, this Capstone concludes by proposing suggestions through the lens of the decision-making model with respect to consultation, communication and implementation for the Canadian Federal Government. This will enhance the readers’ understanding of how to move forward more effectively in the development of the CHARS in Canada’s North.
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 | 0,064 | 0,074 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,004 | 0,005 |
| Études des sciences et des technologies | 0,027 | 0,008 |
| Communication savante | 0,023 | 0,003 |
| Science ouverte | 0,003 | 0,006 |
| Intégrité de la recherche | 0,004 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,001 |
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 ».