Paleoecology of postglacial sediments in the Fraser lowland region of British Columbia
Bibliographic record
Abstract
The postglacial vegetation history of the University of British Columbia Research Forest and the Yale area in the Fraser Lowland region was investigated using percentage and absolute pollen analysis, macrofossil analysis, and radiocarbon dating. A marine clay deposit from the U.B.C. Forest records the oldest (12,690 ± 190 B.P.) assemblage of terrestrial plant remains so far recovered from the postglacial of south-coastal British Columbia. Lodgepole pine dominated this early vegetation, although some fir, spruce, alder and herbs were also present. Four lakes were also studied paleoecologically. The oldest is Marion L., where a previously undescribed pollen assemblage of Pinus aontortat Salixt and Shepherdia is recorded in clay older than 12,350 ± 190 B.P. By at least 11,000 B.P., the three other lakes were also accumulating pollen-rich deposits, dominated in the early-stages by Pinus eontortat Abiest Piaea and Alnus, The first evidence of cedar (Thuja and perhaps Chamaecyparis) history in southwestern British Columbia is presented from pollen and macrofossil analyses. Pollen of Douglas-fir began a rapid increase about 10,500 B.P. at all four lakes, probably in response to a climatic amelioration. Between approximately 10,000 B.P. and 8,000 B.P. in the Yale area, pollen assemblages suggest that the climate was relatively warm and dry, although natural succession, topography, and fires might account for the increase of non-arboreal vegetation observed in the interval. At Marion and Surprise lakes nearer the coast, palynological evidence of a similar xerothermic interval is slight, probably reflecting an ameliorating oceanic influence. Evidence of warm and dry conditions is restricted to this period between 10,000 B.P. and 8,000 B.P., in contrast to the classical concept of a Hypsithermal interval between 8,500 and 3,000 B.P. in the Pacific Northwest.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| 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 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".