Reconnaissance seabed mapping around the Hall and Cumberland Peninsulas, Nunavut: Opening up the SE Baffin coastline to geological investigations
Bibliographic record
Abstract
The waters around southeastern Baffin Island are some of the least known areas of Canada’s submerged lands. The existing knowledge of bedrock geology offshore of Hall and Cumberland peninsulas is constrained primarily by aeromagnetic signatures. The surficial geology is inferred mainly from regional bathymetry and ice-flow directions on the adjacent landmasses. With the almost complete lack of bathymetric definition within 10–30 km of the coastline, the area is not even safely accessible to shipping. Any future development of land-based resources on Hall and Cumberland peninsulas will require safe shipping access to port facilities. With the macrotidal environment and numerous restricted channels, the area has significant unexplored potential for tidal-power generation within the waters included in the Nunavut Land Claim Agreement. For either of these opportunities, adequate environmental assessment of the area will be a necessary precursor to development. That assessment will require knowledge of the submarine-geohazard potential, including iceberg scouring, active sediment-transport processes and submarine mass-wasting. To address these deficiencies in geoscience knowledge, a reconnaissance seabed-mapping program has been underway for the past three years. The project activities of the Nuliajuk Seabed Mapping Program (NSMP) include 1) definition of safe access routes into the coastal waters of the Nunavut Land Claims Agreement; 2) delineation of seabed morphology along those access routes as an aid in understanding potential marine geohazards; and 3) acquisition of shallow sub-bottom profiling along those routes to define the distribution of surficial sediment.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".