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Record W7047886216

Investigating variability in marine mollusk
\ncarbonates using infrared spectroscopy and
\nradiocarbon analysis

2021· dissertation· en· W7047886216 on OpenAlexaboutno aff

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2021
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsnot available
Fundersnot available
KeywordsAragoniteRadiocarbon datingCarbonateBayCalciteShell (structure)Calcium carbonateCarbon fibers
DOInot available

Abstract

fetched live from OpenAlex

Marine bivalve mollusks are complex hierarchical calcium carbonate (CaCO₃) materials \nthat are frequently used in archaeological studies and in chronologies that are \nused to study marine environment and climate change. Radiocarbon (¹⁴C) analysis \nof these materials is central to most of these studies. I study the variability of ¹⁴C \nsignatures within marine bivalve mollusk shells from British Columbia, Canada by \nconsidering both the raw, uncalibrated fraction of modern carbon measurements and \nthe calibrated age ranges. I use infrared (IR) spectroscopy as a method to screen for \ndiagenesis - contamination or alteration of the original shell CaCO₃ - prior to radiocarbon \nanalysis, and as a method to investigate the natural variability in the composition \nand structure of the shell CaCO₃. Using IR spectroscopy, I show that in three archaeological \nsamples of the butter clam (Saxidomus gigantea) from Sechelt, British \nColumbia, only one shell contained contaminating calcite. However, analysis of the \nrelative IR peak intensities showed a consistent difference between the inner nacreous \naragonite layer and the outer crossed lamellar aragonite layer for all three shells. This \nconsistent difference is likely correlated with that natural variability in aragonite microstructures. \nThree other archaeological shell samples from Deep Bay and Comox, \nBritish Columbia, were analyzed for ¹⁴C at three different locations within each of the \nshells. One sample displayed a variation in fraction of modern carbon within the shell \nwhile the others did not. I highlight that ¹⁴C measurements are meaningless without \nan understanding of date calibration and the choices that must be made when calibrating \nmarine and mixed marine-terrestrial samples. My results are a starting point \nfor developing best practices for ¹⁴C dating marine shell samples and for more focused \nstudies on the links between crystallinity, diagenesis, and ¹⁴C.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.069
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.274
Teacher spread0.255 · 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 designBench or experimental
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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

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