Pollen analysis of sediment cores from lakes in the Rouyn-Noranda region, Quebec
Bibliographic record
Abstract
Ambrosia pollen was used as a marker for the relative dating of lake-sediment cores from eight lakes in the vicinity of Rouyn-Noranda. The profiles of Ambrosia counts versus depth in the cores of these lakes have a characteristic shape, and the first sharp increase from the bottom is taken as a marker horizon. The marker occurs at about 7.5 cm depth at Lake Marlon (4 km east of Rouyn-Noranda) and is found progressively deeper in the cores from lakes farther east, being about 13 cm deep in Lake Vert, 25 km north of Val-d'Or and 100 km east of Rouyn-Noranda. Lead isotope (210Pb) dating of the core from 'Gravel Pit' Lake (9 km east of Rouyn-Noranda) gives an approximate age of the Ambrosia marker that is consistent with the age of the development of the Noranda mining community (ca. 1926), and an average sedimentation rate over the whole core of about 0.11 cm/a. The somewhat earlier development of the region farther east, around Val-d'Or and the communities between Val-d'Or and Rouyn-Noranda, may account in part for the deeper position of the Ambrosia marker in these cores. However, the sedimentation rate in Lake Vert is between 0.15 and 0.17 cm/a (the boundaries corresponding to the ages of the Val-d'Or and Rouyn-Noranda communities, respectively), and is therefore greater than the sedimentation rate in 'Gravel Pit' Lake.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".