MétaCan
Menu
Back to cohort
Record W2963030755 · doi:10.17742/image.cr.10.1.11

Fishy Pleasures: Unsettling Fish Hatching and Fish Catching on Pacific Frontiers

2019· article· en· W2963030755 on OpenAlexvenueno aff
Cleo Woelfle‐Erskine

Bibliographic record

VenueImaginations Journal of Cross-Cultural Image Studies · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsFish <Actinopterygii>FisheryHatchingBiologyEcology

Abstract

fetched live from OpenAlex

In debates over Puget Sound salmon recovery, the Wild Steelhead Federation, a settler sportfishing advocate, argues that hatchery-raised steelhead lack fighting spirit, and figures them as unnatural. The Northwest Indian Fisheries Commission and its member tribes operate hatcheries as strategy for maintaining fish runs until degraded habitats can be restored, and figure hatcheries as one of many sites of making relations. Although the genetic science mobilized on all sides of this debate is fairly new, settler discourses that, on the one hand, blame tribal harvest for salmon decline and, on the other hand, construe sportfishing as central to settler family-making and masculinities, have roots going back to the notion of the frontier itself. As a slantwise intervention in this debate, I consider sportfishing as a site and strategy for making settler sexualities, by examining visual archives that document historical practices of sportfishing and the technologies on which contemporary salmon and trout sportfishing depends: the reservoir, the fish hatchery, and the fishing pole. Tracing arguments about Nature and settler masculinities back to the origins of fish culture in hatcheries through the writing of George Perkins Marsh, I argue labeling either normative settler sexualities and gender relations or the flooded spawning grounds beneath reservoirs as unnatural threatens co-constituted settler sexualities and reworkings of “natural” landscapes.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.378
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0040.002
Scholarly communication0.0020.005
Open science0.0000.000
Research integrity0.0000.000
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 head0.027
GPT teacher head0.312
Teacher spread0.286 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueImaginations Journal of Cross-Cultural Image StudiesSame topicHistorical Studies and Socio-cultural AnalysisFrench-language works237,207