Opening up containment: making space in Newfoundland salmonid aquaculture
Bibliographic record
Abstract
Studies in geography and STS looking at containment-in-practice have shown that thinking about containment as a hermetic closing off of a definite space is not suitable for this world, which is characterized by leakages, overflows, excesses, movements, and borders being crossed, contested and drawn again. However, renderings of containment still play an important role in the practices that make and break our worlds. This thesis attempts to open up containment by thinking through how containment is done in two different cases in sea-based salmonid aquaculture on the south coast of the Canadian island of Newfoundland. Based on insights from poststructuralist geography, materialsemiotic STS, and animal geography, containment is approached as an ongoing spatial practice that needs to be constantly done and done again. This thesis respectively explores the provincial Code of Containment and the making of the rearing environment for farmed fish in and around the net-pen, and articulates containment as a (bio)political way of creating, holding together, and unmaking realities, including industrial salmonid aquaculture and the way animal lives and deaths are valuated.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.017 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.000 | 0.001 |
| 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".