MétaCan
Menu
Back to cohort
Record W20417401 · doi:10.1016/j.fm.2009.12.012

Hands of the Tyrants

2012· book· en· W20417401 on OpenAlexaff
Micheal Laverty

Bibliographic record

VenueFood Microbiology · 2012
Typebook
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsHistory

Abstract

fetched live from OpenAlex

Hands of the Tyrants is a satirical novella featuring a protagonist (a CSIS agent named Lucas Young) who infiltrates a collective of performance and conceptual artists known as Apollo's Army. Placed firmly in the literary tradition of Menippean satire, this novella offers the reader a mixture of prose and verse, extended dialogues and debates, multiple genres, absurd situations, and a journey--all of which equally satirize artists and the institutions they rely upon. Lucas' initiation into the art world is a 21st century transposition of the adventures of his fictional ancestors: Alice, Candide, and Gulliver. In Hands of the Tyrants, a cross-country tour of Canada is told through two first-person narrators (Young and another agent, Dr. Pangloss) in the form of surveillance reports. The contrast between these characters and their reports becomes heightened as Lucas fails to distinguish the line between his assumed and actual identities. The object of satiric attack in this novella is the ironic relationship between avant-garde artists and a government which funds their artistic dissent. Although Hands of the Tyrants is set in Canada during the summer of 2010, it transcends this specific time and place by satirizing the universal vices of decadence, hypocrisy, and vanity.

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)0.003
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 score0.198
Threshold uncertainty score0.663

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1980.083

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 head0.008
GPT teacher head0.188
Teacher spread0.179 · 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
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueFood MicrobiologySame topicBacteriophages and microbial interactionsFrench-language works237,207