Where is the Lobster: An Exploration of the Lobster as a Being in Fisheries Management in Nova Scotia, Canada
Bibliographic record
Abstract
This research has used a Critical Discourse Analysis to analyze nine different documents relating to the management of the Inshore and Offshore lobster fishery in Nova Scotia, Canada, to answer the question: How does the language employed in fisheries management documents impact the agency of the lobster as a being in a system where it is used? Through a framing of Critical Animal Studies, ecofeminism as it relates to non-human animals, anarchist political ecology, and decolonization, the discourses surrounding the lobster will be examined, as well as how they build into a rights-based or relationship-oriented framework for connecting with the lobster, and, finally, if these discourses add or remove agency for the lobster within its own fishery. As the current fishery is the most profitable in Canada and contentious with corporations, the government of Canada, and the Mi’kmaq (the Indigenous people of the area) having various claims to its inhabitants, this exploration of the lobster will aim to centre the species. However, this exploration must be careful, in order to centre the lobster while not harming the various groups in Canada who have also been Othered. Ultimately, I will argue, through an analysis of identity and death discourses, that the lobster can have agency within a system where it is being used, but that will require a shift in the system in Canada, from one formed with a capitalist and settler-colonialist structure, to a system where a different relationship with the lobster is understood through non-Western ontologies.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.026 | 0.022 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".