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Record W2471927495

Lost Worlds: A predictive model to locate submerged archaeological sites in SE Alaska, USA

2013· article· en· W2471927495 on OpenAlexaboutno aff
Kelly Monteleone, E. James Dixon, Andrew D. Wickert

Bibliographic record

VenueCAA 2012 · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
Fundersnot available
KeywordsArchaeologyContinental shelfCanyonGeologyBathymetryPleistoceneRange (aeronautics)OceanographyGlacierGeographyPaleontologyGeomorphology
DOInot available

Abstract

fetched live from OpenAlex

This project tests the hypothesis that the archaeological record of Southeast Alaska extends to areas of the continental shelf that were submerged by post-Pleistocene sea level rise beginning around 10,600 BP (9,400 RCYBP).  The archaeological record of the northern Northwest Coast (NWC) extends to approximately 12,200 BP (10,300 RCYBP) (Fedje et al. 2004:116); however, much of the habitable area dating older than 10,600 BP (9,400 RCYBP) is now submerged.  Recent research indicates Southeast Alaska and western British Columbia were largely glaciated beginning around 21,000 to 17,000 BP (18,000 to 14,000 RCYBP) albeit with refugia (unglaciated areas) existing along the coast (Carrara et al. 2003, 2007, Clague et al. 2004).  By 16,000 BP (13,500 RCYBP) much of the region was deglaciated and ecologically viable for human habitation, although a few valley glaciers from the Coast Mountain Range still extended to the coast (Carrara et al. 2007; Clague et al. 2004: 94, Mathews 1979). This project develops and tests a predictive model to identify high potential areas for the occurrence and preservation of archaeological sites on the continental shelf of Southeast Alaska.  The model uses archaeological, historic, and ethnographic site location information, combined with statistical analysis of the archaeological site locations from the northern NWC, following the inductive and deductive techniques advanced by Verhagen and Whitley (2011). The relevant paleolandscapes are only partially visible in the modern landscape and are reconstructed on the continental shelf by integrating modern bathymetry (seafloor topography) and digital terrain model (DTM) data with sea level curves.  Results from a preliminary survey conducted in June 2010 suggest the model can identify ancient archeological sites on the continental shelf (Dixon and Monteleone 2011).  Carrara, Ager, and Baichtal 2007.Possible refugee in the Alexander Archipelago of southeastern Alaska during the late Wisconsin glaciation. Canadian Journal of Earth Sciences, 44: pg.229-244 Carrara, Ager, Baichtal, and VanSistine 2003.Map of Glacial Limits and Possible Refugia in the Southern Alexander Archipelago, Alaska, During the Late Wisconsin Glaciation. USGS, Denver Clague, Mathewes, and Ager 2004.Environments of Northwestern North America before the Last Glacial Maximum.   In Entering America: Northeast Asia and Beringia before the Last Glacial Maximum, ed. Madsen. University of Utah Press, Salt Lake City: pg. 63-94 Dixon and Monteleone 2011. Final Report for Gateway to the Americas (2010-02).  Report on file with Alaska SHPO Office, Anchorage Fedje, Mackie, Dixon, and Heaton 2004.Late Wisconsin Environments and Archaeological Visibility on the Northern Northwest Coast.   In Entering America: Northeast Asia and Beringia before the Last Glacial Maximum, ed. Madsen. University of Utah Press, Salt Lake City: pg.97-138 Mathews 1979.Late Quaternary Environmental History affecting Human Habitation of the Pacific Northwest. CJA, 3: pg. 145-156 Verhagen and Whitley 2011.Integrating Archaeological Theory and Predictive Modeling. Journal of Archaeological Method and Theory, 10.1007/s10816-011-9102-7: pg.1-52

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.021

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.

Opus teacher head0.051
GPT teacher head0.263
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2013
Admission routes1
Has abstractyes

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