MétaCan
Menu
Back to cohort
Record W2315963466 · doi:10.1190/tle35040345.1

Geophysical investigation of a Middle Holocene archaeological site along the Yukon River, Alaska

2016· article· en· W2315963466 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Leading Edge · 2016
Typearticle
Languageen
FieldEngineering
TopicGeophysical Methods and Applications
Canadian institutionsnot available
FundersCentral Washington University
KeywordsHoloceneRadiocarbon datingArchaeologyGeologyLandformGround-penetrating radarTerrace (agriculture)Context (archaeology)River valleyGeophysical surveyPhysical geographyGeomorphologyOceanographyRadarPaleontologyGeophysicsGeography

Abstract

fetched live from OpenAlex

A geophysical investigation of an archaeological site in Yukon-Charley Rivers National Preserve, Alaska, was conducted in 2014 by an interdisciplinary team consisting of researchers from Cornell University, Bucknell University, Central Washington University, and the U. S. National Park Service. The site is known for a historic cabin, Slaven's Roadhouse, which was constructed on a deep, stratified river terrace. This landform was previously found to contain archaeological materials that are at least 4000 years old. The geophysical study, which included a combination of ground-penetrating radar, magnetic, electromagnetic, and electrical methods, revealed details of the depositional context and potential archaeological features of likely Middle Holocene origin, the age of which is supported by radiocarbon dates of charcoal found in association with some of the detected anomalies.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.752
Threshold uncertainty score0.308

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)0.0000.000

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.

Opus teacher head0.035
GPT teacher head0.246
Teacher spread0.211 · 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