Permafrost aggradation along the emerging eastern coast of Hudson Bay, Nunavik (northern Québec, Canada)
Bibliographic record
Abstract
Abstract Emerging polar coasts have different geothermal regimes than those in submergence. While the scientific community is mainly concerned with rapidly eroding permafrost coastlines in sedimentary formations where relative sea level is rising, much less research has been dedicated to permafrost dynamics in emergent coastal regions where post‐glacial uplift is ongoing. The eastern Hudson Bay coast of Nunavik (northern Québec, Canada) is undergoing glacio‐isostatic uplift at a current emergence rate of about 13 mm/yr, outpacing the current global sea‐level rise (~3 mm/yr) and progressively exposing new land to climate conditions favorable for permafrost formation. To observe incipient permafrost in the shore zone over time, in 2005 we strategically installed a thermistor cable down to a depth of 23 m at a high‐tide level site. We detected the formation and the continuing deepening of permafrost near the surface. Freezing of the ground was also favored by a succession of several cold years in Nunavik since 2010. The near 0°C temperature profile at greater depths also reveals the cooling influence of deep Hudson Bay waters on the shore zone ground temperature regime and the probable presence of subsea permafrost offshore of the measurement site.
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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".