Freshwater Fisheries in Canada: Historical and Contemporary Perspectives on the Resources and Their Management
Bibliographic record
Abstract
Abstract.—Manitoba and Saskatchewan have diverse fish faunas: Manitoba has 86 species, 11 of which are nonnative, and Saskatchewan has 66 species, 8 of which are nonnative. The Committee on the Status of Endangered Wildlife in Canada has assessed eight species found in either Manitoba or Saskatchewan as endangered, threatened, or special concern. Aquatic invasive species control and education is a priority for both provinces with the recent proliferation of zebra mussel Dreissena polymorpha in Manitoba and Prussian Carp Carassisus gibelio in Saskatchewan. Recreational fishing is an important leisure activity and an economic driver in both provinces. The 2010 and 2015 Surveys of Recreational Fishing in Canada found that thousands of resident and nonresident anglers caught millions of fish annually. The three most important species in both provinces were Walleye Sander vitreus, Northern Pike Esox lucius, and Yellow Perch Perca flavescens. Commercial fisheries in both Manitoba and Saskatchewan (including bait fisheries) are locally and regionally important and the majority of fishers are Indigenous peoples. Recent average commercial fishery landings and values in Manitoba were 11 million kg worth Can$22.7 million and in Saskatchewan 2.7 million kg worth $4.9 million.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| 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 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".