MétaCan
Menu
Back to cohort
Record W7038526807

Immigrant Labor in Fish Processing in the Pacific Northwest and British Columbia and Current Undocumented Labor

2015· article· en· W7038526807 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship - Claremont (Claremont Colleges) · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicDiptera species taxonomy and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsFish processingImmigrationFish <Actinopterygii>LegislationRace (biology)Work (physics)Ethnic group
DOInot available

Abstract

fetched live from OpenAlex

The beginning of industrialized fish processing plants reveals themes of labor exploitation, racial and gender segregation, and antagonistic legislation that have continued well into the present. Today in the Pacific North West, the majority of workers are Latino and many among them are undocumented or DACAmented. Many aspects of the work conditions in salmon canneries back in the late 1800’s to the mid 1900’s and the work conditions in present day fish processing plants have not changed. Many jobs in a fish processing plant remain gendered, and when there is more than one race working in a single plant racial tensions as well as differences in the owners expectations of labor output by race may arise. The study interviews undocumented workers and documents their experience working in fish processing plants as well as provides historical context.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.004
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.029
GPT teacher head0.240
Teacher spread0.211 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueScholarship - Claremont (Claremont Colleges)Same topicDiptera species taxonomy and behaviorFrench-language works237,207