Environmental protection in the Canadian High Arctic: Tallurutiup Imanga/Lancaster Sound as a case study for re-conceptualising governance
Bibliographic record
Abstract
<p>The diminishing ice cover has accelerated the ability for commercial shipping through the navigable routes of the Northwest Passage in the Canadian High Arctic. Shipping movement through ecologically fragile marine areas represents new environmental risks that could result from oil spills in these northern waters. Yet, existing preparedness and response systems have not been tested, as no response has been required to a large-scale spill in this region. The empirical research undertaken reveals that the Government of Canada is under mounting pressure to demonstrate how damage to marine ecosystems and northern peoples’ lifestyles would be mitigated. Broad actor consensus is that systems are not in place to reduce the risks of detrimental environmental impacts that could dramatically change the community livelihoods and lifestyles. Compounding pressure on the government, research findings indicate conflicting perspectives within indigenous northern communities concerning commercial development of the Canadian Arctic. In confronting this challenge, this thesis introduces a new governance paradigm to the field of Arctic stewardship that applies pre-emption and precautionary logic to protect this vulnerable environment from problems associated with commercial development and the emergence of environmental risks. Existing frameworks for managing unintended impacts are disrupted by repositioning new and existing actors into new constructs of shared knowledge, power over decision-making, responsibility for resource management and wellbeing. The prevailing ‘top-down’ and rigid hierarchical structure dominated by the federal branch of the Government of Canada is disrupted by a shift towards an emergent arrangement to allow actors to facilitate interactions to operationalise agreed upon measures. This innovative form of governance can enable debate on the merits of reconstructing epistemological scales to conceptualise environmental protection measures in the context of global environmental change and the potential impact to local communities.</p>
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Thesis on Arctic environmental governance and shipping risk in Canada; Canadian in setting but the object is environmental policy, not the research system.
This thesis studies Arctic environmental governance rather than the Canadian research system.
Arctic marine environmental governance dissertation; Canadian policy object is environment, not the research system.
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 | 0.003 |
| Science and technology studies | 0.027 | 0.009 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".