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Record W3163934965 · doi:10.18432/ari29549

WRITING SOCIOLOGICAL CRIME FICTION

2021· article· en· W3163934965 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueArt/Research International A Transdisciplinary Journal · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicComputational and Text Analysis Methods
Canadian institutionsnot available
FundersEconomic and Social Research CouncilArts and Humanities Research Council
KeywordsNarrativeSociologyPoetrySociological theoryPeriod (music)LiteratureCriminologyAestheticsMedia studiesArtSocial science

Abstract

fetched live from OpenAlex

In this article I share and discuss a poetic work of experimental sociological crime fiction titled “You Will Have Your Day in Court” (in Crockett Thomas, 2020c). In it I reimagine the “true crime” story of “King Con” Paul Bint, who for a period in 2009 successfully impersonated Keir Starmer, the then Director of Public Prosecutions. I first introduce my collaborative approach to writing sociological crime fiction, connections to poststructuralist philosophy and conceptualisation of research as a process of translation. After sharing the piece, I discuss thematic aspects of the work, such as the popular fascination of fraud, desire for explanations for criminal acts, and the narrative constraints placed on people who have experienced criminalisation. I also consider stylistic elements including use of narrative voice, characterisation, and narrative structure. I hope that this article is of interest to scholars aiming to marry poststructuralist thought with an experimental approach to writing sociological fiction.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.637
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.232
GPT teacher head0.538
Teacher spread0.306 · 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