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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 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

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.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.998

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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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