Bibliographic record
Abstract
This bachelor thesis "Inuit and Canada's Northern Strategy" deals with the relationship between the Canadian Federal Government and the Inuit, especially in the period of 2006- 2015, when the conservative Stephen Harper held the post of Canadian Prime Minister. In 2007 the document Canada's Northern Strategy was published, introducing a plan of active arctic development, primarily based on increased Canadian military presence and economic activities. The importance of the Inuit, real inhabitants of the Arctic, was confirmed in this document by mentioning the Inuit's historical presence in the Arctic as a key argument of Canada's Arctic claims. Despite this fact, a real change of policy, that could help solve the current social crisis of the Inuit community, did not come and the Inuit are still rarely consulted where Canadian arctic initiatives are concerned. The aim of this thesis is, with the help of two main documents: Canada's Northern Strategy and the Inuit Action Plan, to analyse the priorities and demands of the Inuit and the Canadian government, in order to find out if a common goal exists and what the reason is behind the misunderstanding and failed communication between these two parties, which prevents the Inuit social crisis from being solved and the region from true prosperity. The...
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.025 | 0.009 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".