Aquatic invertebrates in wetlands of the oil sands region of northeast Alberta, Canada, with emphasis on Chironomidae (Diptera).
Bibliographic record
Abstract
This thesis describes the effects of oil sands process waters (OSPW) on the benthic macroinvertebrate component of wetland ecosystems through assessment of biological responses at various levels of organization. Comparison of the macroinvertebrate communities among OSPW-affected wetlands and environmentally-similar reference wetlands indicated an insignificant trend of reduced taxonomic richness and abundance. Also, the general benthic macroinvertebrate community and specifically the chironomid community showed differences in community composition between OSPW and reference wetlands, in terms of the presence and relative abundances of dominant taxa. The incidence of chironomid mouthpart deformities, a biomarker of teratogenicity, was low at three pairs of reference and OSPW wetlands. Similarly, there was no evidence to show that OSPW induces mouthpart deformities. However, growth and survival were significantly reduced in both lab and field-derived C. tentans larvae exposed to higher concentrations of OSPW. (Abstract shortened by UMI.)Dept. of Biological Sciences. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis1999 .W54. Source: Masters Abstracts International, Volume: 39-02, page: 0445. Adviser: Jan Ciborowski. Thesis (M.Sc.)--University of Windsor (Canada), 2000.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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".