Morphological and evolutionary patterns of emerging arctic coastal landscapes: the case of northwestern Nunavik (Quebec, Canada)
Bibliographic record
Abstract
Northwestern Nunavik (Quebec, Canada) is characterized by specific landforms and poorly documented examples of emerging coastal landscapes. In this study, we identified the different types of coasts and examined how they were morphologically reworked and shaped during the Holocene. This coastal region is currently emerging at rates of 8–9 mm/year due to glacial isostatic adjustment. The coastal zone includes a large number of glacial and glaciofluvial landforms such as De Geer moraines, eskers, and drumlinoid ridges that are continuously modified by coastal processes as they emerge. Wave erosion, shore drifting, and sedimentation transform the original landforms into transverse spits, tombolos, dunes, beaches, and narrow tidal flats. Once raised above the reach of storm surges, the coastal landscape evolves into a maze of low tundra ridges, wetlands, and lakes, which represent the end point of rapid shoreline regression. Exposure to a cold climate allows permafrost inception and aggradation in the uplifted sediments, forming features such as ice-wedge polygons and frost boils. Conceptual models of coastal evolution and ecosystem formation are proposed, from the original submarine landscapes to the emerged landscapes.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".