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Record W2992652626 · doi:10.22215/etd/2019-13872

Diatoms in Lake Sediments as Proxies of Climatic Variation Throughout the Latest Holocene

2019· dissertation· en· W2992652626 on OpenAlexaff
Scott J. Hutchinson

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsCarleton University
Fundersnot available
KeywordsTephraDiatomHoloceneAssemblage (archaeology)PaleolimnologyClimate changeGeologyPhysical geographyDeposition (geology)SedimentologyOceanographyEarth sciencePaleontologyVolcanoGeographySediment

Abstract

fetched live from OpenAlex

This thesis is composed of manuscripts investigating the impact of climate events throughout the past ~2800 years on conditions within the lacustrine environment of Pocket Lake as reflected in changes of diatom assemblage.The first manuscript presented in chapter 2 is composed of a broad, paleoclimatic reconstruction at a resolution of ~20-30 years per sample based on changes in diatom assemblage integrated with geochemical and particle size datasets from the same core.In the second chapter a high-resolution investigation into the impact of the deposition of airfall tephra into Pocket Lake is presented.Together, these studies provide insight into the impact of broader decadal scale climate cycles and instantaneous, episodic events allowing for a more comprehensive understanding of their impact on lakes in sensitive, northern locations.These reconstructions will help inform predications regarding the potential impact of 21 st century climate change.

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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.014
GPT teacher head0.289
Teacher spread0.275 · 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
Published2019
Admission routes1
Has abstractyes

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