Palaeolimnological study of selected lakes in the Wood Buffalo region
Bibliographic record
Abstract
Palaeolimnology is the reconstruction of past environments using information \nrecorded in lake sediments, including preserved biological organisms and chemical \nindicators. A key assumption of palaeolimnology is that undisturbed lake sediments \nmay provide a faithful, continuous record of change over long time periods, ranging \nfrom years to millennia. Using proven methods available for dating lake sediments, \nboth the continuity of the record and the dates of recorded changes may be \nestablished. Palaeolimnology has been widely employed across the world, for \nexample in reconstructing past climate over thousands of years and for the study of \npollutant impacts over the last 200 years following the Industrial Revolution. It is \nparticularly well suited to the study of pollution arising from fossil fuel combustion \nbecause several indicators of pollutant inputs and biological changes may be recorded. \nThe main purpose of this study was to employ various palaeolimnological techniques \nto establish whether there have been chemical or biological changes in lakes in \nNorthern Alberta as a result of the industrial activities associated with exploitation of \nthe Athabasca Oil Sands.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".