Climate change's social justice ramifications for NL and related policy implications
Bibliographic record
Abstract
Climate change has far-reaching impacts worldwide, and an increasing amount of literature cites the disproportionate burden climate change has on disenfranchised populations and those who have the least means to adapt. Climate change also has ramifications at multiple scales, local through provincial, for Newfoundland and Labrador (NL), Canada. However, while there have been multiple studies of these climate change impacts in NL, there remain gaps in knowledge on how these impacts might affect different groups and communities in different ways, as well as the role provincial policy has and might play in this impact distribution. This thesis assesses potential social justice impacts of climate change for NL. It then examines existing climate change adaption policy in NL, namely the 2011 Climate Change Action Plan and 2019 The Way Forward on Climate Change in NL, and the capacities that these policies have to aid in mitigation of and/or adaptation to social justice implications of climate change. Policy measures that may assist the mitigation of and/or adaption to these implications, including interactions between policy at local and provincial scales, are also discussed.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".