Contributions or Complications:CETA, Climate Change & Sustainability in Canada
Bibliographic record
Abstract
Canada has undertaken key commitments to reduce greenhouse gas (GHG) emissions, increase adaptation and climate resilience, and realign financial flows, particularly in the country’s three successive Nationally Determined Contributions (‘NDCs’) to the global response to climate change under the 2015 Paris Agreement. Canada and the European Union (‘EU’) have also launched a new trade agreement, the Canada – EU Comprehensive Economic and Trade Agreement (‘CETA’), which recognizes that economic development, social development and environmental protection are interdependent and mutually reinforcing components of sustainable development and reaffirms both Canadian and European commitments to promoting trade that contributes to sustainable development for the welfare of present and future generations. In this brief article, several ways in which CETA might contribute to the achievement of Canada’s NDC are canvassed. The article discusses whether over time, CETA implementation will clearly commit to climate action and other sustainable development objectives; avoid constraining key laws and policies needed for climate action; intensify cooperation to limit temperature increases, increase the ability to adapt to adverse impacts of climate change, foster climate resilience and lowGHGemissions development and make finance flows consistent with sustainable development; and enhance trade in more climate and nature positive, sustainable goods and services. If so, the article suggests, CETA has the potential to foster rather than frustrate the Parties’ commitments under the 2015 Paris Agreement, and their work to advance the global Sustainable Development Goals (‘SDGs’).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.027 | 0.008 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".