Skies of Inequality: Investigating the Interplay Between State Factors in Civil Aviation and Systemic Discrimination in Northern Canada
Bibliographic record
Abstract
This thesis embarks on a journey to uncover the dark truth surrounding the causal role of States in civil aviation accidents (State Factors) and the ensuing spectre of systemic discrimination that haunts indigenous populations in Northern Canada. Despite Canada's reputation for stringent aviation regulations, a closer examination reveals that systemic safety deficiencies in the North have resulted in a disproportionate impact on indigenous communities. Driven by the need to address these issues, this research contributes to broader discussions on human rights and the role of States in ensuring equitable safety outcomes in aviation. It provides a profound reflection on historical inequalities and it calls for a commitment to a future where safety is not a privilege but a universal norm and where Canadian skies are truly open to all.Structured across six chapters, this thesis delves deep into the core of aviation safety governance in Canada, revealing a narrative rife with injustice and neglect. Drawing upon a comprehensive analysis of relevant treaties, regulations, policies, case studies, and socio-political theories, this research investigates the multifaceted State Factors that fuel a pernicious form of systemic discrimination in northern Canadian aviation. Its findings underscore how systemic failures stemming from government (in)action in Canada perpetuate safety disparities among northern indigenous communities and exacerbate their socio-economic vulnerabilities. This thesis further advocates for targeted policy and legal reforms, and lays out a strategic litigation roadmap to confront this form of discrimination. Ultimately, it proposes a holistic approach to enhance aviation safety and promote equality for indigenous peoples, emphasizing the critical importance of uniform regulations and oversight, equitable resource allocation, and inclusive policymaking across Canada's civil aviation regime
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.014 | 0.008 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".