Paleomagnetic secular field variation and rock magnetism of some early holocene (<9900BP) postglacial lacustrine sediments near Thunder Bay, Northwestern Ontario, Canada
Bibliographic record
Abstract
Paleosecular magnetic changes through a 1.5m section of post-glacial lacustrine deposits \nare strongly influenced by mineralogy and differential compaction. The sediments chiefly \ncomprise clay and, in the lower one third part of the section, rhythmites which vary from ~2mm \nto ~Scm in thickness. 125 paleomagnetic specimens were collected in total from the 1.5m section. \nAnisotropy of magnetic susceptibility and anisotropy of anhysteretic remanent magnetization \nidentify a magnetic fabric with maximum susceptibility parallel to the bedding plane of the \nsediments and with a preferred northwest-southeast axis, probably indicating paleo-current \nalignment. Minimum susceptibility represents the pole to bedding, due to grain alignment. \nIncremental acquisition and demagnetization of isothermal and anhysteretic \nmagnetizations and the orthogonal three-axis test indicate that the sediments contain two \nmagnetic phases with different coercivities. Magnetic hysteresis measurements (clays n=226; silts \nn=37) show that clay is dominated by single domain magnetite and hematite (means of \nM5=58.47?9.22Am2 \n, Mrs=17.12?27.22Am2 \n, Hc=21.09?7.69mT, Hcr=62.04?4.09mT) whereas silt \nis dominated by pseudo-single domain and single domain magnetite (means of \nM5=681.0?395.9Am2 \n, Mrs=163.2?84.75Am2 \n, Hc=26.07?2.94mT, Hcr=56.08?3.17mT). The silt is \ndominated by magnetite, whereas the clay carries both hematite and magnetite.
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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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".