Sustainability and unsustainable practices : Exploring the energy transitions' implications on human rights
Bibliographic record
Abstract
In the light of sustainable development, dilemmas can occur where the three dimensions of sustainability, the social, ecological and economical, come into conflict. This thesis explores the tension between social and ecological sustainability, specifically regarding Indigenous rights being threatened by renewable energy extraction projects. These projects aim for a low-carbon economy and a fossil-free future which would support ecological sustainability. However, the mining developments for these projects often operate on Indigenous traditional lands where the Indigenous communities have their cultural and spiritual identities. Through a Human Rights-Based Approach and just transition theory, this thesis examines how power asymmetries, lack of consultation and limited participation in decision-making processes threaten Indigenous First Nations rights. The material is examined through a content analysis and consists of governmental documents and NGO reports from MiningWatch Canada. The content analysis is conducted using a coding scheme in which the terms ´sustainable development´, ´sustainability´, ´human rights´, ´environmental´ and ´culture´ are extracted and analysed. Their implicit or explicit use, or their absence is highlighted to evaluate the extent to which sustainability and Indigenous rights are prioritized in the chosen governmental documents and NGO reports. The study concludes that although Indigenous peoples and rights are mentioned in both governmental documents and NGO reports, their inclusion in decision-making processes is often underwhelming. Mining developments continue to pose significant threats to First Nations communities, even though there are mechanisms intended to protect them, such as Environmental Assessments and Impact Benefit Agreements. First Nations communities are often excluded from decision-making processes and there is a lack of free, prior and informed consent (FPIC) in mining developments.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.036 |
| Scholarly communication | 0.008 | 0.013 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".