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Record W2802878888 · doi:10.1177/1527476418768008

The Listening Detective: Thinking Music, Gender, and Transnational Crime’s Affective Turn

2018· article· en· W2802878888 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueTelevision & New Media · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicCrime and Detective Fiction Studies
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsActive listeningDramaTrope (literature)Detective fictionPsychologyMode (computer interface)SociologyLiteratureAestheticsArt

Abstract

fetched live from OpenAlex

This essay argues that in extending the audiovisual convention of “thinking music” and focusing it on the traumatized mind of the female detective, crime series such as Top of the Lake (2013–), Marcella (2016–), and From Darkness (2015–) present female knowledge as fundamentally emotional, even irrational. In these series, the female detective is victimized, traumatized, troubled, and her thinking music is distorted, discordant, affectively charged. Arguing that the female detective’s “thinking” music moves away from the forensic mode’s “showing and telling” and toward “listening” as an investigatory model, this essay posits a sonic turn that recalibrates the genre’s engagement with the female victim along affective and emotional lines. Analyzing this trope, this essay connects the female detective’s sonically defined emotional investment to transnational crime drama’s self-reflexive strategies of affective legibility.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.829
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.061
GPT teacher head0.276
Teacher spread0.215 · 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