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Record W2626674095

A Holocene Paleolimnological Record from the Turkey Lakes Watershed Long-term Monitoring Site in Central Ontario, Canada

2013· dissertation· en· W2626674095 on OpenAlexaboutno aff
Kristen K. Beck

Bibliographic record

VenueTSpace (University of Toronto) · 2013
Typedissertation
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsnot available
Fundersnot available
KeywordsHoloceneWatershedPaleolimnologyGeographyTerm (time)ArchaeologyGeologyOceanographyPhysical geography
DOInot available

Abstract

fetched live from OpenAlex

A Holocene lake sediment record spanning 7300 years from Wishart Lake, in the Turkey Lakes Watershed central Ontario, was produced to determine the main drivers of long-term change in the lake ecosystem. The mid-Holocene sediments are dominated by benthic diatoms, around 4000 yrs BP, diatoms in the genera Cyclotella and Tabellaria increase. Comparisons with nearby pollen records show that changes in local vegetation and diatom assemblages occurred synchronously, suggesting a response to nutrient changes caused by vegetation succession. The most recent sediments, dated using activity of 210Pb and the Ambrosia pollen rise, show increases in planktonic Cyclotella spp., particularly around the Ambrosia rise (1880 AD). Thus, the diatom changes in the recent sediments suggest a response to multiple stressors. However, due to some buffering capacity in watershed soil, recent acidification of the lake has not taken place despite nearby industrial air pollution, tracked since 1980 by an on-site monitoring program.

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 score0.015
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.009
GPT teacher head0.196
Teacher spread0.187 · 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

Explore more

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