Lake Sturgeon: The Historical Geography of Lake Winnipeg Fishery Commons
Bibliographic record
Abstract
"In the province of Manitoba lake sturgeon (Acipenser fulvescens) is currently threatened, extirpated from most of its original range. This has occurred for a number of reasons. A major feature has been the removal of control over the resource from the local level. Capitalization and resource extraction by outside interests has been allowed and encouraged by Canadian governments. Compounding this, a gap existed between local fisheries overseers and centralized Fisheries Department decision-makers who used incomplete and fragmented knowledge at critical junctures in the development of the sturgeon fishery. Finally, over-lapping uses for resources and development of some resources at the expense of others, i.e. hydro-electrical development, have negatively impacted fish populations and habitats. Few researchers have examined the transformation of resources from common property to commercial commodity. Cree and Ojibwe management of lake sturgeon is reconstructed as the basis for understanding the history of sturgeon fishing and its management on Lake Winnipeg, challenging some of the conventional wisdom and history about the transformation. The paper crosses boundaries of history, zoology and fisheries management theory to reexamine the sturgeon problem, incorporating divergent perspectives, including Cree and Ojibwe management systems. The most recent efforts to manage lake sturgeon in Manitoba have been with both formal and informal co-management, one response to a long history marked by successes and failures. The most significant result is a patchy pattern of over-exploitation, limited fishery closures, culminating in an overall decline in sturgeon populations. The paper begins with an examination of changing human-resource relations and the historical commons."
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 | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".