Bibliographic record
Abstract
The thesis focuses on the Arctic Northwest Passage issue from the geo-political rather then sociological point of view. This thesis deals with the Arctic Northwest Passage question as a whole because it is a highly complex matter where various seemingly unrelated factors, as for instance climate and politics, result in a closely related and highly tangled issue. The intention of the thesis is to present possible approaches to the topic and to show the complexity and importance of the Arctic Northwest Passage issue. An introduction into historic and geopolitical context is presented in the first chapter. Only significant events are mentioned with special attention given to those expeditions of which major aim was the Passage itself even though the exploration of the Passage is closely related to the quest for the North Pole. Then it aism to analyze the impact of the climate change on the Northwest Passage region not only from the ecological point of view but also from the perspective of its consequences in the political stage with focus on the American and Canadian dispute over the Passage. Subsequently the strategic value of the region is explained. The role of other countries involved and other related disputes, is also mentioned but only in short, providing the basic information. The last chapter provides a summary of the present situation and the most current events. Also the possible future development of this issue based on scientific prognosis is outlined in the last chapter.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".