Climate and Fire History of the past approximately 10000 years in central Labrador based on sediments from Canoe and 'Big Beer' Lakes
Bibliographic record
Abstract
Fire plays a critical ecological role in the boreal forest. The long-term history of fire and link(s) to climate change remain understudied in the eastern boreal forest of present-day Labrador. Here we provide a new data set based on short sediment cores extracted from two lakes (Canoe and “Big Beer”) in eastern Labrador in 2013. Age-depth models were constructed for each core based on corrected Accelerator Mass Spectrometry (AMS) Carbon 14 dates. Charcoal (area and counts) was used to reconstruct fire histories, and changes in climate were inferred from analysis of sediment loss-on-ignition, magnetics (susceptibility, isothermal remanent magnetization and anhysteretic remanent magnetization), stable isotopes (carbon and nitrogen) and biogenic silica. Charcoal data suggested markedly different fire histories for the two lakes. Fire appears to be largely absent in the area around Big Beer Lake except for two possible fire events prior to ~6900 Before Present (BP). Fire was more common at Canoe Lake as indicated by higher concentrations of charcoal overall and multiple distinct peaks, especially after 4000 BP.
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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 | 0.000 | 0.001 |
| 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 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".