Terrane-specific rock magnetic characteristics preserved in glacimarine sediment from southern coastal Alaska
Bibliographic record
Abstract
Sediments deposited in three fjord systems latitudinally spanning the northeast Gulf of Alaska coastline have distinctive rock magnetic characteristics that are derived from glacially eroded accreted terranes. Ideal conditions exist in coastal Alaska to preserve primary rock magnetic properties within the sediment record because of the dominance of glacial erosion and rapid sediment transportation and burial. In temperate glacially dominated marine settings, terrigenous sediment is not diluted by biogenic material and diagenetic alteration is minimal. The juxtaposition of temperate glaciers on the northwest-trending accreted terranes of the southern Alaska continental margin provides magnetic provenance tracers of sediment derived from this region that can aid in the interpretation of glacial, paleoclimate, and tectonic proxy records from marine sediment. Holocene sediment deposited in Glacier Bay is eroded from the Craig subterrane of the Alexander terrane; it is characterized by high-volume magnetic susceptibility and coarse-grained, pseudosingle-domain (PSD) and multidomain (MD) magnetite. In Yakutat and Disenchantment bays, farther to the north, glaciers also erode the Yakutat and Chugach terranes. There, sediment contains slightly finer-grained PSD and MD magnetite, which is chemically distinct from that of Glacier Bay. In the northern-most sector, sediment is eroded from the Chugach terrrane in Harriman and College fiords, adjacent to Prince William Sound. These sediments have low magnetic susceptibility and contain micron-size pyrrhotite.
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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 | 0.002 | 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".