Postglacial succession and palaeoecology of Late Quaternary macrofaunal assemblages from the central Canadian Arctic Archipelago
Bibliographic record
Abstract
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 bivalvesHiatella arctica, Mya truncataandAstarte borealisthat 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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".