PPS Arctic Canada (Present processes, Past changes, Spatio-temporal variability in the Arctic delimitation zone, Canada)
Bibliographic record
Abstract
PPS Arctic Canada is a team of more than 170 researchers including 23 co-investigators, 3 post-doctoral fellows, 80 students from high school to graduate level and more than 70 northern residents and elders. Training and northern community involvement have been key components of our research project. Together with international researchers we developed common protocols and collected data during IPY to examine change at the tree line. Our multidisciplinary research team is developing methods for integrating data from a wide range of quantitative, qualitative and anecdotal data on change across tree line, or the Arctic delimitation zone. By actively interweaving research themes from ecological, environmental, and social sciences with northern cultural perspectives and community priorities, we are framing environmental change research in new ways, adopting new approaches to doing science in partnership with northerners, and developing new methods of cross-scale enquiry. We also integrate this research with northern priorities at specific sites to create opportunities for hands-on involvement by scientists from diverse disciplines, Elders, local knowledge holders, community people, youth and agents from multiple sectors. In the summers of 2007-09, we collected data at over a dozen locations in the Yukon, Northwest Territories, Nunavut, northern Manitoba, northern Québec and Labrador. Data were collected regarding the impacts of changes in climatic conditions on tree line and their consequences on ecosystems and communities. Other data were collected on trees of all ages, seeds, vegetation, snow and ice, microclimate, spatial pattern, soil and socioeconomic indicators across the forest tundra ecotone at sites across northern Canada. Our key finding continues to be the large amount of variability in tree growth, regeneration and spatial pattern among tree species, regions across Canada and even sites within the same region. Evidence of change in and movement of the forest-tundra ecotone is evident in some sites but not in others despite increasing temperatures. Seed viability or seedling recruitment may be hindering tree line movement at these sites. This variation in tree line response may be extremely challenging to outline general strategies for climate change adaptation in Arctic environments.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.003 |
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".