Symposium no. 43 Paper no. 867 Presentation: oral 867-1
Bibliographic record
Abstract
The Glacial Lake Agassiz basin in North-central Manitoba consists predominantly of glacio-lacustrine, clayey uplands and peat-filled lowlands. The region lies within the discontinuous permafrost zone. Permafrost mainly occurs in deep and shallow peatlands, and on uplands under mature closed black spruce-feather moss vegetation. Soil climate and permafrost characteristics along a toposequence, from upland to lowland, were monitored between 1981 and 2001. The study site, covering an area of 225 x 100 m, is under mature vegetation and is located in the northern part of the Boreal Ecozone, near Thompson, Manitoba. Monitoring instrumentation consisted of thermocouples/thermistors, wells, and frost tubes along a 225 long transect. Depth to permafrost was also monitored on a 25 m grid. Vegetation, drainage, and thickness of organic surface layers are the apparent dominant controls of soil climate and permafrost distribution. However, observed permafrost dynamics indicate that weather events, such as early fall or delayed snowfall, and wet or dry summers, also have a significant effect. Water movement during snowmelt occurs primarily over the frost table, and through the peat layer and the upper part of the mineral soil after heavy rains. Maturation of veneer bogs typically extends these shallow peatlands through the process of paludification, and the deepening of the peat generally leads to greater incidence of permafrost. However, if climate change results in more frequent wildfires or warmer summers, it is most likely that the expansion and extent of shallow peatlands and the distribution of permafrost will be reduced.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.662 | 0.472 |
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".