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Record W4293764204 · doi:10.55468/gc1503

Conservation and photogrammetry of subfossil Quaternary walrus (Odobenus rosmarus) from the Bay of Fundy, Canada

2021· article· en· W4293764204 on OpenAlexaffabout
Dee Stubbs-Lee, Matthew R. Stimson, R. Andrew MacRae, Olivia King, Donald F. McAlpine

Bibliographic record

VenueGeological Curator · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsSaint Mary's UniversitySt. Mary's University
Fundersnot available
KeywordsSubfossilBayPhotogrammetryEnvironmental scienceSeawaterArchaeologyFresh waterRainwater harvestingSalt waterGeologyFisheryHydrology (agriculture)OceanographyGeographyRemote sensingEnvironmental engineeringEcologyBiologyGeotechnical engineeringHolocene

Abstract

fetched live from OpenAlex

We describe a simple, inexpensive approach to the conservation and preservation of the subfossil cranium and tusks of a Quaternary (c. 2,900-12,800 years BP) walrus (Odobenus rosmarus) dredged from salt water. Ideally, wet specimens should be kept immersed in seawater until the treatment process is initiated. Regardless, it is critical that specimens not be permitted to dry out prior to desalination. Desalination was accomplished by gradually replacing sea water with fresh tap water, followed by controlled, slow drying over more than 530 days. Spalling was restricted to the tusks and occurred mainly between days 293-300, requiring surface consolidation with a dilute polyvinylacetate solution. The specimens were sufficiently stabilized for geology collections storage following the 591-day process. The use of photogrammetry to produce a 3D digital image of the partial walrus cranium with tusks permitted us to minimize the necessity of future handling and conservation and to preserve details of overall morphology and meristics useful for both research and public exhibition.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.209
Teacher spread0.190 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2021
Admission routes2
Has abstractyes

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