A 520-year paleolimnological grain size and ITRAX record from Harvey Lake, New Brunswick, Canada
Bibliographic record
Abstract
This grain size data was derived from a 250 mm long gravity Glew Maxi core (HL-2017-GC-2) collected from near the mouth of Herbert's Cove, Harvey Lake, New Brunswick Canada (45°43’42.535” N; 67°01’23.739” W) at a water depth of 4.5 m. The core was subsampled on-site at 2 mm resolution using a Glew core extruder before transport to Carleton University for subsequent analysis. Subsamples were analyzed using a Beckman Coulter LS 13 320 laser diffraction grain size analyzer equipped with a universal liquid module. The resultant triplicate grain size data were averaged using a script within Matlab which generated the data archived here. The data was then analyzed using End Member Mixing Analysis and three distinct end members were recognized EM01, Mode = 05 μm; EM02, Mode = 27μm; EM03, Mode = 58 μm). Subsequent radiocarbon dating revealed that deposition spanned the last 520 years of deposition. During this interval there were 12 major storms (EM03) and analysis of precipitation data from the Harvey climate station indicated that ~110 mm of rain was required for the deposition of EM01 in Harvey Lake. The deposition of EM02 was derived from the yearly spring freshet runoff.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.012 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.007 |
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".