Taxonomic and biological findings on thyasirid bivalves from the \nCanadian Arctic and Eastern Canada
Bibliographic record
Abstract
The Thyasiridae are small marine clams common in cold waters, including around the \nCanadian Arctic and Eastern Canada. Some thyasirid species form nutritional symbioses with \nsulfur-oxidizing bacteria and may act as ecosystem engineers in sediments recovering from \norganic enrichment. Using thyasirids as ecological indicators requires accurate species \nidentification, and there is a lack of taxonomic attention to thyasirid species across large \ngeographic areas. This thesis aims to improve our understanding and ability to identify 5 \nthyasirid species (Thyasira cf. dunbari, T. cf. equalis, T. plana, T. cf. gouldi, and Axinopisda \norbiculata) occurring in the Canadian Arctic and Eastern Canada, based on the study of multiple \ncharacters (anatomical, genetic, and symbiotic). Examination of the recently discovered T. cf. \ngouldi complex led to the reinstatement of a formerly synonymized species, T. plana. \nChemosymbiosis is confirmed for the first time in arctic thyasirids, namely in T. cf. gouldi; other \nthyasirids from this region are asymbiotic. New taxonomically informative gene sequences are \npresented, and a re-examination of the distribution of thyasirid species notably revealed T. cf. \ndunbari occurrences at lower latitudes than T. dunbari. Future work is needed to improve the \ntaxonomy of thyasirids and to inform their usefulness as indicators of organic enrichment.
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 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 | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".