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Record W3171134587 · doi:10.48336/w4c1-5c67

Opening up containment: making space in Newfoundland salmonid aquaculture

2020· dissertation· en· W3171134587 on OpenAlexaffabout
Ignace Schoot

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2020
Typedissertation
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsContainment (computer programming)Space (punctuation)AquacultureEnvironmental ethicsPoliticsFish <Actinopterygii>GeographyClosing (real estate)Environmental planningFisheryPolitical scienceSociologyEngineeringLawComputer science

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.618
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0050.001
Scholarly communication0.0010.002
Open science0.0030.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.041
GPT teacher head0.330
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2020
Admission routes2
Has abstractyes

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Same venueMemorial University Research Repository (Memorial University)Same topicGeographies of human-animal interactionsFrench-language works237,207