Seeking a Path to Wellness and Flourishing: Exploring Ecological Citizenship, Systems Thinking, and Environmental Governance in Southwest Yukon
Bibliographic record
Abstract
While efforts toward environmental management (EM) have been increasing, the state of our natural world is getting worse. Numerous reports have outlined that today’s environmental problems are predominantly human-induced, yet approaches to EM often only address “environmental” rather than “human” issues. More holistic approaches are required. This thesis explores “ecological citizenship” (EC) as an alternative framework that may have the potential to address elements too often left out of top-down and reductionist approaches. Academic and case-based notions of this concept are explored, and a new definition for the term is developed. A case study, drawn from the rich results of in-depth interviews, and analyzed and presented using social-ecological systems theory, examines the dynamics of ecological citizenship in southwest Yukon and how they have been shaped by formal and informal institutions over time. Results have indicated the importance of addressing human-based components across all scales, whereby internal virtues are shaped by elements closer to home: community values, education, and time spent on the land; and external behaviours are often affected by systemic structures and institutions. Systemic and institutional elements are considered to play a positive role when they foster participation, awareness, and/or a culture of respect. The highest results are believed to be achieved when a culture of environmentalism is reflected in all social and institutional structures and brought together by a high-level integrated governance plan that utilizes democratic and community-oriented decision-making processes.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".