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Record W4401995425 · doi:10.70213/1948-1802.1026

Thieving Hooks, and the Stories We Tell about Pirates

2023· article· en· W4401995425 on OpenAlexaboutno aff
Manushag N. Powell

Bibliographic record

VenueDigital Defoe : · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPhilippine History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryArtArchaeologyVisual artsGeography

Abstract

fetched live from OpenAlex

Because pirate tales as a genre are intensely intertextual and counterfictional, it is often befuddling when the historical record will not align with historical fiction. While it is assumed pirates may well have used prosthetic hooks, there is little reason to believe J. M. Barrie’s memorable villain wore a hook as an informed piece of historical continuity. What evidence we have as to the use of hook prostheses connects them to the laboring classes, not the Eton-trained menace of Jas. Hook and his iron appendage, and there is virtually no evidence at all of pirates using hook prosthetics. Rather than attempting to locate the pirate’s hook in historical antecedents among real one-handed adventurers—neglecting the importance of how disability was understood both in Barrie’s time and earlier—the piratical hook is better understood as a loose signifier for the pirate’s social perversity.

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)0.002
metaresearch head score (Gemma)0.007
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0190.035
Scholarly communication0.0070.009
Open science0.0010.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0090.002

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 head0.021
GPT teacher head0.267
Teacher spread0.245 · 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
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
Published2023
Admission routes1
Has abstractyes

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