The experience of women in the British Columbia fishery during a climate of crisis and change
Bibliographic record
Abstract
The British Columbia fishery is in crisis. Environmental conditions and problems with the management of the fishing resource have led to a significant reduction in stocks and created serious economic problems in the industry. Women's work is central to the fishery yet it is often unpaid, underpaid and undervalued. Policies guiding the restructuring of the industry do not take into account the unique circumstances of women in the industry. Therefore, the purpose of this study is to improve the understanding about the ways fishery policy impacts the lives of women in the fishing communities of BC. The question posed: What is the experience of women in the BC Fisheries during a climate of crisis and change? A feminist approach is applied to this qualitative study. Unstructured interviews were conducted with a sample of nine women who have worked in the industry and are impacted by closures and cutbacks. Findings reveal a devastating magnitude of loss for these women and their families; a great mistrust of the motives of the Federal government and its policies; and a multitude of strategies used in their struggle for survival. The critical inequities in the fishing industry make this study particularly relevant to social work. Further research is warranted to develop adjustment, programs that address these inequalities and meet the needs of women in the coastal communities of BC. Limitations of thisstudy and suggestions for future research are discussed in the light of these findings.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.042 | 0.022 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".