The sea-level fingerprint of the 8.2 ka climate event
Bibliographic record
Abstract
Research Article| May 01, 2008 The sea-level fingerprint of the 8.2 ka climate event Roblyn A. Kendall; Roblyn A. Kendall 1Department of Physics, University of Toronto, 60 St. George Street, Toronto, Ontario M5S 1A7, Canada Search for other works by this author on: GSW Google Scholar Jerry X. Mitrovica; Jerry X. Mitrovica 1Department of Physics, University of Toronto, 60 St. George Street, Toronto, Ontario M5S 1A7, Canada Search for other works by this author on: GSW Google Scholar Glenn A. Milne; Glenn A. Milne 2Department of Earth Sciences, University of Durham, Durham DH1 3LE, UK Search for other works by this author on: GSW Google Scholar Torbjörn E. Törnqvist; Torbjörn E. Törnqvist 3Department of Earth and Environmental Sciences, Tulane University, 6823 St. Charles Avenue, New Orleans, Louisiana 70118–5698, USA Search for other works by this author on: GSW Google Scholar Yongxiang Li Yongxiang Li 3Department of Earth and Environmental Sciences, Tulane University, 6823 St. Charles Avenue, New Orleans, Louisiana 70118–5698, USA Search for other works by this author on: GSW Google Scholar Author and Article Information Roblyn A. Kendall 1Department of Physics, University of Toronto, 60 St. George Street, Toronto, Ontario M5S 1A7, Canada Jerry X. Mitrovica 1Department of Physics, University of Toronto, 60 St. George Street, Toronto, Ontario M5S 1A7, Canada Glenn A. Milne 2Department of Earth Sciences, University of Durham, Durham DH1 3LE, UK Torbjörn E. Törnqvist 3Department of Earth and Environmental Sciences, Tulane University, 6823 St. Charles Avenue, New Orleans, Louisiana 70118–5698, USA Yongxiang Li 3Department of Earth and Environmental Sciences, Tulane University, 6823 St. Charles Avenue, New Orleans, Louisiana 70118–5698, USA Publisher: Geological Society of America Received: 03 Nov 2007 Revision Received: 01 Feb 2008 Accepted: 05 Feb 2008 First Online: 02 Mar 2017 Online ISSN: 1943-2682 Print ISSN: 0091-7613 © 2008 Geological Society of America Geology (2008) 36 (5): 423–426. https://doi.org/10.1130/G24550A.1 Article history Received: 03 Nov 2007 Revision Received: 01 Feb 2008 Accepted: 05 Feb 2008 First Online: 02 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Roblyn A. Kendall, Jerry X. Mitrovica, Glenn A. Milne, Torbjörn E. Törnqvist, Yongxiang Li; The sea-level fingerprint of the 8.2 ka climate event. Geology 2008;; 36 (5): 423–426. doi: https://doi.org/10.1130/G24550A.1 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyGeology Search Advanced Search Abstract The 8.2 ka cooling event was an abrupt, widespread climate instability. There is general consensus that the episode was likely initiated by a catastrophic outflow of proglacial Lakes Agassiz and Ojibway through the Hudson Strait, with subsequent disruption of the Atlantic meridional overturning circulation. However, the total discharge and flux during the 8.2 ka event remain uncertain. We compute the sea-level signature, or "fingerprint," associated with the drainage of Lakes Agassiz and Ojibway, as well as the expected sea-level signal over the same time period due to glacial isostatic adjustment (GIA) in response to the Late Pleistocene deglaciation. Our analysis demonstrates that sites relatively close to the lakes, including the West and Gulf Coasts of the United States, have small signals due to the lake release and potentially large GIA signals, and thus they may not be optimal field sites for constraining the outflow volume. Other sites, such as the east coast of South America and western Africa, have significantly larger signals associated with the lake release and are thus better choices in this regard. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".