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Record W78258716

Palynology and geochemistry of sediments in the tidally influenced lower Fraser River, British Columbia

2013· dissertation· en· W78258716 on OpenAlexaboutno aff
Joanna Maria Czarnecki

Bibliographic record

VenueSummit (Simon Fraser University) · 2013
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsnot available
Fundersnot available
KeywordsPalynologyGeologyGeochemistryOceanographyArchaeologyGeographyPollenEcology
DOInot available

Abstract

fetched live from OpenAlex

In the tidally influenced Fraser River and adjacent Strait of Georgia (SoG), Canada, palynological and carbon isotope (δ13Corg) signatures of channel-margin sediments are compared to environmental parameters (e.g., substrate grain size, water salinity) in order to establish how these vary across the tidal-fluvial transition. Palynological assemblages in both the Fraser River and SoG (delta front and prodelta) are dominated by tree pollen, which comprises between 85% and 95% of all assemblages. Relative abundances of marine dinocysts are markedly low, and the maximum abundance of dinocysts is 6.8% or 1,023 cysts g-1 of sediment in samples recovered from the prodelta. Dinocyst abundances do not exceed 2% of the total palynological assemblage in the Fraser River, and the number and diversity of dinocysts gradually decreases landward. Organic carbon-13 enrichment values range from -26.55‰ in sediments deposited in the freshwater-tidal reach of the Fraser River, to -21.08‰ in prodeltaic sediments. The δ13Corg and palynological signatures of river, delta front, and prodelta sediments indicate a dominance of terrestrially sourced organic matter regardless of brackish-water and tidal influence on sediment deposition.

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 score0.034
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.180
Teacher spread0.174 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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