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Postglacial succession and palaeoecology of Late Quaternary macrofaunal assemblages from the central Canadian Arctic Archipelago

2001· article· en· W2159695105 on OpenAlexaffabout
Sandra Gordillo, Alec E. Aitken

Bibliographic record

VenueBoreas · 2001
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMacrofossilPaleoecologyHoloceneGeologySubfossilEcological successionArcticTaphonomyQuaternaryDeglaciationEcologyFaunaOceanographyPaleontologyBiology

Abstract

fetched live from OpenAlex

Temporal and spatial variations of the species composition of Late Quaternary macrofossil assemblages in the vicinity of Prince of Wales Island, central Canadian Arctic are examined in this study. A total of 2247 specimens representing 15 taxa (9 bivalves, 6 gastropods) were recovered at 32 sites. The dominant species are the bivalves Hiatella arctica, Mya truncata and Astarte borealis that together represent 91% of the total macrofossils represented in the collections. Taphonomic analysis (i.e. ratio of opposite valves; size range; shell abrasion and overgrowth; resistance to breakage) and comparison of the species composition of Holocene macrofaunal assemblages with modern counterparts and their habitats indicate that the subfossil faunas most commonly represent para‐autochthonous assemblages which inhabited glaciomarine or nearshore marine environments. As observed previously by other authors, changes in faunal composition through time from survivor or pioneer groups ( Hiatella arctica, Mya truncata, Portlandia arctica, Macoma calcarea ) to more diverse faunas (e.g. Astarte borealis, Clinocardium ciliatum, Serripes groenlandicus ) are noted. The succession of faunas in the study area is interpreted as the result of oceanographic changes after deglaciation due to increased summer insolation and warming of surface waters in the early 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 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 score0.309
Threshold uncertainty score0.999

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)0.0020.000

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 head0.012
GPT teacher head0.233
Teacher spread0.220 · 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

Citations16
Published2001
Admission routes2
Has abstractyes

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