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Record W2890199210 · doi:10.15760/etd.6277

Using Archival and Archaeofaunal Records to Examine Victorian-era Fish Use in the Pacific Northwest

2000· report· en· W2890199210 on OpenAlexaboutno aff
Emily Taber

Bibliographic record

Venuenot available
Typereport
Languageen
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFish <Actinopterygii>NewspaperFishingGeographyAgency (philosophy)Historical recordFisheryFishing industryWork (physics)HistorySociologyMedia studiesEngineeringSocial scienceBiologyBiography

Abstract

fetched live from OpenAlex

Studies of historic fish archaeofaunas can contribute to our understanding of Victorian-era consumer choice and agency. However, most zooarchaeological work focuses on interpreting large mammal remains such as cow (Bos taurus). That fish are overlooked is particularly striking in the Pacific Northwest, where fishing was a major facet of both the bourgeoning industrial economy and local household practices. My thesis addresses this gap through study of archival records (mainly newspapers) and zooarchaeological fish records from a neighborhood in Vancouver, Washington focusing on the period between 1880 and 1910. My particular goals were to examine how fishes were acquired and their economic role in a market economy. I conducted archival research through systematic and qualitative reviews of The Oregonian and other newspapers in Oregon and Washington. I recorded 105 different named fishes, which I linked to 46 Linnaean taxa; 76 fishes were listed with price information in advertisements. I connected these fishes to market acquisition, and the remaining fishes to personal catch. I ranked the sixteen most prominent fishes by their price. Largemouth bass (Micropterus salmoides) was the most expensive, and Pacific cod (Gadus macrocephalus) was the least expensive. Five ranked fishes were introduced; all of these were in the top 50% of the ranking. Chinook salmon (Oncorhynchus tshawytscha) was advertised the most frequently, but was in the lower 50% of the ranking. Some fishes (e.g., common carp [Cyprinus carpio]) were heavily promoted by federal entities and private entrepreneurs, but viewed negatively by consumers. The zooarchaeological portion of my study focused on privies from the Esther Short neighborhood (Vancouver, WA), which, between 1880 and 1910, was a predominantly middle- and working-class community, occupied by people of European ancestry. The fish fauna (total NISP: 1,282) had previously been documented by Krey Easton. I reanalyzed ~30% of the fish remains to verify identifications; our results were highly correlated. Ten fish families representing 16 taxa were recorded in the assemblage. Both introduced fishes (n = 6 taxa) and native fishes (n = 10 taxa) were present. Catfish (Ictaluridae) dominated the assemblage (76%). Salmonids represented 15%. I recorded five new taxa from specimens previously noted as "unidentified". I documented body part representation and butchering marks to establish the fish portions Esther Short residents acquired. Finally, I compared archaeofaunal fish representation against the fish rank obtained from archival research. Residents acquired fishes both as market purchases and through personal catch. Eight fish taxa in the assemblage

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)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.331
Threshold uncertainty score0.657

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.008
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.097
GPT teacher head0.327
Teacher spread0.230 · 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
Published2000
Admission routes1
Has abstractyes

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