Thickness records of glacial Lake Ojibway varves from Duparquet and Dufresnoy lakes, northwestern Quebec
Bibliographic record
Abstract
The thicknesses of 537 and 387 rhythmic couplets were measured along composite sequences of glacial Lake Ojibway glaciolacustrine deposits recovered in cores from Duparquet and Dufresnoy lakes, Quebec, respectively. The couplets span varve numbers 1137 to 1742 (Lac Duparquet) and 1189 to 1625 (Lac Dufresnoy) with respect to the Timiskaming varve series. Erosional unconformities (or disconformities) below v1484 cause 51 and 47 varves to be 'missing' in both the Duparquet and Dufresnoy varve records, respectively. Error in the varve numbering relative to the Timiskaming varve series is estimated to be ±2 varves. Varve thickness data for each lake are listed in separate digital spreadsheet files (.xlsx and .csv formats). Mosaic posters depict CT-Scanner radiograph images of each set of lake cores and show the interpreted varve numbering and the between-coring-site correlations of the varve couplets.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".