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Record W1994953450 · doi:10.7901/2169-3358-2008-1-847

VEGETATION RESPONSE AND SEDIMENT POLYCYCLIC AROMATIC HYDROCARBON ATTENUATION IN A CAREXMARSH IN HOWE SOUND, BRITISH COLUMBIA, CANADA FOLLOWING A SPILL OF BUNKER C Fuel Oil

2008· article· en· W1994953450 on OpenAlex
Greg Challenger, Gary A. Sergy, A. Graham

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Oil Spill Conference Proceedings · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotany, Ecology, and Taxonomy Studies
Canadian institutionsAlberta Environment and Protected Areas
Fundersnot available
KeywordsEnvironmental scienceVegetation (pathology)SedimentMarshHydrology (agriculture)HabitatDitchEcologyWetlandGeologyGeotechnical engineering

Abstract

fetched live from OpenAlex

ABSTRACT A spill of Bunker C fuel oil in Howe Sound, British Columbia, Canada in August 2006 affected approximately 10.5 acres (4.2 hectares) of marsh habitat unique to the Pacific Northwest. A cleanup approach to reduce impacts from response actions was balanced with a desire to remove all residual oil. Cleanup techniques that were used include flushing, cutting, raking, passive sorbent collection, natural recovery, and manual excavation (sediment removal). Evaluation of the habitat response relative to oiling conditions and treatments was undertaken by examining vegetation indices in treatment and control areas and temporal changes in sediment concentrations of poly cyclic aromatic hydrocarbons (PAHs). One year post-spill results suggest that the amount or degree of oiling on the dominant vegetation, Carex lyngbyei and ?leocharis palustris, had little or no apparent effect, or was insignificant in comparison to the impact of the treatment. Vegetation cutting alone had no positive or negative effect on vegetation recovery indices. Treatments which were aggressive in physically disturbing the sediments and root systems of the marsh (heavy trampling, heavy scraping, excavation and/or excessive trampling) retarded vegetation recovery in oiled and unoiled habitats and prolonged oil persistence in comparison to non aggressive treatment, vegetation cutting alone or natural recovery. Mechanical damage was the best predictor of ?AH persistence.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.665
Threshold uncertainty score0.713

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)0.0000.000

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 head0.020
GPT teacher head0.210
Teacher spread0.190 · 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