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Record W4410062839 · doi:10.1080/01916122.2025.2500055

Spheroidal carbonaceous particles and other black carbon from Crawford Lake, Ontario, Canada

2025· article· en· W4410062839 on OpenAlexafffundabout
Joshua Moraal, Francine M.G. McCarthy, Simon Turner, Michael F. J. Pisaric, Brian F. Cumming, Nicholas L. Riddick, Joseph I. Boyce

Bibliographic record

VenuePalynology · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsMcMaster UniversityQueen's UniversityBrock University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCarbon blackCarbon fibersEnvironmental scienceGeologyArchaeologyChemistryGeographyMaterials science

Abstract

fetched live from OpenAlex

Spheroidal carbonaceous particles (SCPs) are formed from the incomplete, high-temperature combustion of fossil fuels. They are transported to a variety of depositional environments downwind of their sources and thus have the potential to be used to measure human activity on a regional scale. Composed mainly of elemental carbon, these fly ash particles are chemically inert and survive acid treatment, including HF. However, unlike microcharcoal, SCPs are typically overlooked during palynological analysis. Both types of black carbon are common in palynological preparations of varved sediments from Crawford Lake, Ontario, Canada where they can be correlated with the historic record of land use over the past two centuries. Increases in microcharcoal concentration correlate with historic records of land clearing in the early-mid nineteenth century and logging and lumber milling between 1885 and 1957 CE. The rapid increase in SCP concentration during the mid-twentieth century is attributed to the global increase in fossil fuel combustion and industrial activity (the Great Acceleration) and the decline during the early 1980s records increasingly stringent air quality standards as well as decreased demand for steel (and coking coal) in nearby Hamilton. Palynologists are urged to pay attention to these useful proxies of fossil fuel combustion in their slides.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.209
Teacher spread0.198 · 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 teacher head, not a consensus.

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

Citations1
Published2025
Admission routes3
Has abstractyes

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