Physical indicators of ice-jam induced flooding and the history of flood frequency in cores taken from lakes within the Peace-Athabasca Delta, northern Alberta, Canada
Bibliographic record
Abstract
lce-jam induced flooding of the Peace-Athabasca Delta (PAD) ín northern Alberta, Canada is thought to be the primary mechanism for the recharging of hydrologically isolated basins within the delta.Core analyses from lakes selected on the basis of sensitivity to flooding indicate that dark-colored laminations within the cores are coarser, have higher magnetic susceptibilities, lower moisture content, plus higher quartz, feldspar and carbonate content than lighter laminations.These dark-colored laminations reflect non-flood deposition, whereas the finer-grained, lighter-colored laminations signify flood deposition.Sequences from highly flood sensitive lakes display well-defined laminations and bedding features that contain clear evidence of changing energy conditions, exhibit the highest rates of deposition, and record the highest lamination counts.ln basins that likely experience less frequent flooding, laminations and bedding features become less well-defined, there is less variability in grain size and organic content, deposition rates decline, laminae frequency decreases, and the average thickness of individual laminations increases.Variability of laminae frequency and thickness within the sequences clearly illustrates the role of climate change in the delta.Variations in texture and mineralogy not only demonstrate the role of climate change within the delta, but also suggest changes in the conditions of individual lakes indicating that the regulation of Peace River water flow by the W.A.C. Bennett Dam may have accelerated the effects of climate change within some portíons the PAD.
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 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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 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".