Plant species and biomass, soil respiration, soil environment data on Whapmagoostui-Kuujjuarapik, Quebec, Canada
Bibliographic record
Abstract
Ongoing climate change affects various interconnected biotic and abiotic components in the Arctic ecosystem. However, capturing data on multiple components of the Arctic ecosystem simultaneously and sympatrically is difficult. We investigated vascular plant community composition, plant biomass, soil respiration and several soil environmental factors in the Canadian subarctic zone. We recorded 88 vascular plant species, seven soil environmental factors, above- and below-ground biomass, soil respiration within 1 × 1-m quadrats in tundra and forest sites. Shrub species were recorded at the highest frequency in all sites. Environmental factor data showed that the soil was relatively acidic and, in the tundra site, shallow, suggesting the strong contribution of country-rock in the Canadian shield. These data filling data gaps in the Arctic region have potential value to help our understanding of the ecosystem and can be used for future predictions or global-scale analyses.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 teacher head, 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".