Regional and local climatology of a subarctic alpine treeline, Mealy Mountains, Labrador
Bibliographic record
Abstract
This thesis investigates climatological aspects of a subarctic alpine treeline site in the Mealy Mountains, Labrador. The first of two manuscripts looks at a method of regional climate modeling (statistical downscaling) to produce temperature scenarios for the future and to assess the applicability of large-scale models (global climate models) for regions of complex topography. Both the GCM and statistically downscaled models predict warming for the study site, especially for winter months. However, the output of GCMs was determined to not capture the local climatic influences of this region, and thus produces scenarios that smooth over the signal of future climate change. The second manuscript produces a descriptive climatology of the study site and also investigates the relationship of the treeline with the climate. It was determined that the current climate regime of the Mealy Mountains is not a limiting factor to tree growth beyond its current elevation; however, recent changes and future climate predictions may encourage the recruitment and establishment of spruce trees above their current position.
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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 | 0.000 | 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 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".