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Record W2268540748 · doi:10.1016/0967-0653(96)81202-6

10.1016/0967-0653(96)81202-6

2000· article· en· W2268540748 on OpenAlexvenueno aff
Eric H. De Carlo, Khalil J. Spencer

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicPacific and Southeast Asian Studies
Canadian institutionsnot available
FundersHawai'i Sea Grant, University of Hawai'iUniversity of Hawai'iNational Oceanic and Atmospheric AdministrationNational Science Foundation
KeywordsLead (geology)Environmental scienceHeavy metalsArchaeologyMetalGeologyMining engineeringOceanographyGeographyEnvironmental chemistryChemistryPaleontology

Abstract

fetched live from OpenAlex

In this paper we present depth profiles of selected transition metals and major constituents in four sediment cores recovered from the Ala Wai Canal, a small drainage estuary in Honolulu, Hawai'i. Our study documents the advent, increase in use, and subsequent phasing out of Pb-alkyl fuel additives in Honolulu over the past 60 yr. Sedimentary Pb concentrations increase from < 10 ppm in the oldest (deepest) portions of the cores to a maximum of about 750 ppm in sediments corresponding to the mid-1970s; subsequently Pb contents decrease to a range of 100-300 ppm in the most recent deposits. Other metals, including Cd, Cu, and Zn, reveal patterns that are also consistent with an increasing flux of metals to the sediments attributable to anthropogenic inputs. However, unlike Pb, these metals do not exhibit clear maxima in sediments deposited during the mid-1970s. Rather, there appears to be a continued input of these metals from the watershed likely associated with ever-increasing anthropogenic activity in Honolulu. Approximately 25-75%, depending on the depth within the core, of the Cu and Zn contents of the sediments can be attributed to natural inputs of soils formed by weathering of the O'ahu volcanic edifices. Elements such as Co and Ni are found in concentration ranges consistent with the dominant mineralogy of the sediments and do not appear to exhibit an anthropogenic signal.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.661
Threshold uncertainty score0.403

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)0.9960.998

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 head0.212
Teacher spread0.201 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations21
Published2000
Admission routes1
Has abstractyes

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