Opportunities and challenges for Canada to exceed its Paris Agreement target
Notice bibliographique
Résumé
Canada's Paris Agreement pledge or nationally determined contributions (NDC), submitted by the previous government to the United National Framework Convention on Climate Change (UNFCCC) on 15 May 2015, includes 'an economy-wide target to reduce our greenhouse gas emissions by 30% below 2005 levels by 2030'. 1 Conjecture surrounds the likelihood of Canada achieving this target.2 Some climate models and policy papers have found that Canada will likely fall short of this target , while some policy insiders strongly suggest that Canada will achieve this target quite easily.The Prime Minister of Canada, Justin Trudeau, elected on 19 October 2015, has repeatedly said publicly that he wants Canada to 'take on a new leadership role internationally' on climate change, including in Canada's National Statement at the 21st Conference of the Parties (COP21) in Paris.3 Based on these international climate leader overtures, this briefing paper assumes that Canada will at least meet its Paris pledge.The Parliament of Canada ratified the Paris Agreement on 5 October 2016.The Paris Agreement, which entered into force on 4 November 2016, aims to strengthen the global response to the threat of climate change including 'by holding the increase in the global average temperature to well below 2°C above pre-industrial levels and to pursue efforts to limit the temperature increase to 1.5°C above pre-industrial levels', and achieve net zero emissions in the second half of the century.4 However, the Parties to the Agreement emphasise 'with serious concern the urgent need to address the significant gap between the aggregate effect of Parties' mitigation pledges in terms of global annual emissions of greenhouse gases by 2020 and aggregate emission pathways consistent with holding the increase in the global average temperature to well below 2°C above pre-industrial levels and pursuing efforts to limit the temperature increase to 1.5°C above pre-industrial levels'.5 The next few years are therefore absolutely crucial to closing the gap between where we are currently heading (an increase of 2.7-3.7°C) and where we need to be to achieve the goals of the Paris Agreement.Climate modellers from the University of Melbourne, the Potsdam Institute for Climate Impact Research, and the International Institute for Applied Systems Analysis have calculated the average of Canada's fair shares 6 of the global emissions reduction burden, and found that Canada would need to reduce emissions by 51% below 2005 levels by 2030 to ensure consistency with the 2°C goal, and 69% for the 1.5°C goal.7 They have also calculated that reducing emissions in the range of 51-69% would place Canada at the forefront of G20 climate ambition, and as a leader for the ratcheting-up process of the Paris Agreement.8 By 2020, Parties are invited to either communicate a new NDC 9 , or re-communicate or update their existing NDC. 10 The facilitative dialogue in 2018 11 provides a vital opportunity to provide the information, conditions and political signals necessary to empower Parties to enhance their ambition by 2020.This process provides an opportunity for Canada to take on a leadership role internationally on climate change.
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 | 0,011 | 0,018 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,013 | 0,003 |
| Communication savante | 0,015 | 0,004 |
| Science ouverte | 0,003 | 0,007 |
| Intégrité de la recherche | 0,010 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,033 | 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 ».