Bibliographic record
Abstract
Purpose The purpose of this paper is to investigate the function of an Indigenous commercial fishery at Norway House Cree Nation as a social enterprise, and to examine its potential to enhance community economic development. Design/methodology/approach The research was conducted in three phases, and the outcome of each phase was used as an input for the next phase. In the first phase, questionnaire surveys were administered among commercial fishing households. In the second phase, semi-structured interviews were conducted with key informants, and in the third, with fisheries experts, food development experts and government officials. Findings Norway House Fisherman’s Co-op functions as a social enterprise mainly because commercial fishers contribute to local food security by sharing fish, and the Co-op operates additional businesses which contribute to job creation and community economic development. Research limitations/implications The study was carried out in only one community and commercial fishery from northern Manitoba, and the results will not be directly applicable elsewhere. Practical implications This research provides recommendations for further development of commercial fisheries at Norway House: fuller use of existing fish resources, value-added economic development and creative use of regulatory options. Originality/value The Co-op is identified as the engine of community development. It functions well, but there are additional opportunities for development, such as reducing the discard of lower value fish, which is consistent with indigenous Cree cultural values of not wasting resources.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.030 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".