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Record W2142507057 · doi:10.4319/lo.2000.45.6.1380

A fine‐scale record of 130 years of organic carbon deposition in an anoxic fjord, Saanich Inlet, British Columbia

2000· article· en· W2142507057 on OpenAlexafffundabout
Verena Tunnicliffe

Bibliographic record

VenueLimnology and Oceanography · 2000
Typearticle
Languageen
FieldEnvironmental Science
TopicIsotope Analysis in Ecology
Canadian institutionsUniversity of Victoria
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsFjordAnoxic watersSapropelTotal organic carbonVarveOceanographyIsotopes of carbonCarbon fibersEnvironmental scienceGeologySedimentInletTemperate climatePacific decadal oscillationWatershedEnvironmental chemistryChemistryEcologyPaleontologyGeographyMediterranean climatePacific oceanArchaeology

Abstract

fetched live from OpenAlex

A varved sediment sequence from an anoxic temperate fjord is examined for a 130‐yr record of organic carbon content and stable carbon isotope composition. Saanich Inlet, British Columbia, receives most detrital input from a logged and reforested watershed. Winter and summer laminae differences are significant and are isotopically depleted with respect to water column organic carbon. Within the core, organic carbon content increased from 2.5% in the 1860s to 3.3% in the 1990s, whereas carbon isotopes become depleted by 1.2‰ toward the late 1990s. Homogenization of large sample volumes yields the most repeatable carbon results. Overlaid on the trends are cycles of roughly a 38‐yr period for both records. River outflow has not changed, but logging rates that peaked midcentury in the watershed match the organic carbon shifts. This influence, plus the interdecadal Pacific‐climate oscillation, likely explain the periodicity observed.

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 score0.064
Threshold uncertainty score0.128

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 studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.003
GPT teacher head0.182
Teacher spread0.179 · 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

Citations22
Published2000
Admission routes3
Has abstractyes

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