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Record W4293871270 · doi:10.5281/zenodo.7032521

A novel ostracod record from Lake Simcoe (Canada) tracks inputs of glacial meltwater, relative temperature changes, and sources of inorganic carbon throughout the last ~14 000 years

2022· paratext· en· W4293871270 on OpenAlexaffabout
Rebecca M. Doyle, Natasha Bumstead, C F M Lewis, Fred J. Longstaffe

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typeparatext
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsBedford Institute of OceanographyWestern University
Fundersnot available
KeywordsMeltwaterGlacial periodOstracodCarbon fibersPhysical geographyGeologyGlacierPaleoclimatologyEnvironmental scienceHydrology (agriculture)Climate changeGeomorphologyPaleontologyOceanographyGeographyMaterials science

Abstract

fetched live from OpenAlex

A new ostracod record from Lake Simcoe (Ontario, Canada) sheds light on interactions between the earth, atmosphere and cryosphere in southern Ontario during the late Pleistocene and Holocene. Proxies employed in this study include (i) oxygen and carbon isotope compositions of ostracod valves (δ13Cvalve and δ18Ovalve, respectively), (ii) ostracod assemblages, and (iii) physical properties of the sediment. Estimates of the oxygen isotope composition of lake water (δ18Olake water), derived from measurements of δ18Ovalve, are paired with a well-constrained sediment chronology to uncover the history of glacial meltwater inputs to Lake Simcoe. Glacial Lake Algonquin, which spawned from the gradual melting of the Laurentide Ice Sheet (LIS), inundated Lake Simcoe from the beginning of the record (~14 000 cal BP) until ~12 050 cal BP. An additional pulse of glacial meltwater likely occurred ~11 000 cal BP when Early Lake Mattawa overflowed into the Lake Simcoe basin. From ~11 000 cal BP to present, variations in δ18Olake water closely match those of previously published pollen-based temperature reconstructions from the same sediment core. Ostracod assemblages also reflect these temperature variations, highlighting the influence of air temperatures on in-lake conditions. Estimates of the carbon isotope composition of dissolved inorganic carbon (δ13CDIC), derived from measurements of δ13Cvalve, reveal that the stable carbon-isotope systematics of DIC in Lake Simcoe were mostly controlled by bedrock and detrital carbonate dissolution rather than production/respiration or lake level. Physical properties of the lake sediment, such as grain size, magnetic susceptibility, sediment accumulation rate and sediment mineralogy substantiate the above findings. A pronounced increase in accumulation rate, and subtler increases in grain size and detrital carbonate contents between ~8300 and 8000 cal BP, may reflect an abrupt transition from cold/dry to wet/warm conditions resulting from the collapse of the LIS ~8200 cal BP. In summary, this research improves our understanding of the timing and pathways of glacial meltwater flow and offers insight into how in-lake conditions of large lakes like Lake Simcoe changed throughout the late Pleistocene and Holocene.

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 score0.081
Threshold uncertainty score0.162

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 studies0.0010.000
Scholarly communication0.0000.000
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 head0.019
GPT teacher head0.219
Teacher spread0.200 · 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
Published2022
Admission routes2
Has abstractyes

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