Why Deep‐Water Dissolved Oxygen Is Higher in Gandaawuu.ngaay Xyangs (Juan Perez Sound), Haida Gwaii, Than Other British Columbia Fjords
Bibliographic record
Abstract
Abstract G̱andaawuu.ngaay Xyangs ( Juan Perez Sound ) is a fjord‐like area and ecological hotpot on the east coast of Haida Gwaii, British Columbia, within Gwaii Haanas National Park Reserve, National Marine Conservation Area Reserve, and Haida Heritage Site. A collaboration among the Council of the Haida Nation, Parks Canada, and Fisheries and Oceans Canada has been ongoing since 2017 to advance understanding of the oceanography and marine ecology within and around Gwaii Haanas. Oceanographic data collected year‐round by subsurface moorings and annually on research cruises revealed winter dissolved oxygen concentrations (DO) greater than 5 mLL −1 (217 μmol kg −1 ) as deep as 350 m in G̱andaawuu.ngaay Xyangs and no evidence of hypoxia throughout the water column. This observation differs from other British Columbia fjords, where maximum deep DO is generally observed in summer and values can be hypoxic or anoxic in winter. To explain this high DO, potential energy in the water column was calculated and compared with wind energy. Strong winds and weak stratification facilitated mixing of the water column each winter enabling ventilation. Oxygen loss from the winter high was caused by both frequent episodes of advection of dense, DO‐poor water from shelf waters into G̱andaawuu.ngaay Xyangs, and by remineralization. In comparison, in Rivers Inlet, weak winds and strong stratification prevented full water column mixing and ventilation. Although climate‐driven changes such as intensified upwelling, enhanced stratification, and region‐wide deoxygenation could cause future hypoxia, protecting the integrated land‐ocean ecosystem in G̱andaawuu.ngaay Xyangs is more important than ever before.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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 teacher head, 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".