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Record W4405889021 · doi:10.2478/abcsj-2024-0033

Flotsam and Jetsam: Art, Allegory, and Shipwreck in the Twenty-First Century (III)

2024· article· en· W4405889021 on OpenAlexaffabout
David Brian Howard

Bibliographic record

VenueAmerican, British and Canadian Studies · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicTravel Writing and Literature
Canadian institutionsNSCAD University
Fundersnot available
KeywordsGreenwichHistoryAllegoryFishingArt historyNova scotiaVisual artsArtArchaeologyLawGeology

Abstract

fetched live from OpenAlex

Abstract This allegorical postcard is organized around two groups of photographs. The first group was the result of a joint collaboration with the Vancouver artist Scott Saunders, and it produced photographs which have peppered several of my previous texts published by American, British and Canadian Studies . The second is a series of photographs taken by Scott Saunders from the window of his apartment in Vancouver, in which he documents the street life constantly ebbing and flowing on the sidewalk below. The catalyst for bringing these two groups together was a photograph I took several years ago in Sambro, Nova Scotia (a small fishing village located just outside of the city of Halifax), depicting a forlorn sunken fishing vessel. The term “flotsam” is applied, according to the Oxford Reference Dictionary , to “the wreckage of a ship or its cargo floating on or washed up by the sea,” while “jetsam” describes the things or objects deliberately “thrown away, especially from a ship at sea and that float toward land.” Combined, these images of words and devastated human beings are caught in an apparently endless circulation of violence and contingency located at the heart of the urban fabric of a modernity bereft of any horizon of hope, redemption, or rescue.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.298
Threshold uncertainty score0.592

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0160.019
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.014
GPT teacher head0.221
Teacher spread0.207 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes2
Has abstractyes

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