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Record W2015141596 · doi:10.1353/utq.0.0457

Detecting Men: Masculinity and the Hollywood Detective Film (review)

2009· article· en· W2015141596 on OpenAlexvenueno aff
Bart Testa

Bibliographic record

VenueUniversity of Toronto Quarterly · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHollywoodMasculinityMovie theaterDetective fictionCriticismHistoryArtLiteratureArt historySociologyGender studies

Abstract

fetched live from OpenAlex

Reviewed by: Detecting Men: Masculinity and the Hollywood Detective Film Bart Testa (bio) Philippa Gates. Detecting Men: Masculinity and the Hollywood Detective Film. State University of New York Press 2006. x, 346. US $29.95 What was needed was a critical history of the screen detective, something not undertaken since John Tuska’s short 1978 survey. Although a constantly recurring figure of popular cinema throughout its history, the screen detective has either been collapsed into his or her film noir version of the 1940s (Farewell My Lovely) or neo-noir revisions of the 1970s (Chinatown), or else found floating ill-defined in the diffusive crime film genre. What Philippa Gates partly provides is a solid outline of the figure’s earlier film history. She draws out helpful categories (the classical English detective, the hard-boiled gumshoe, the contemporary ‘criminalist,’ etc.). Working from a suggestive periodization, she also [End Page 356] draws in some very smart critics to help her. Her interpretive lens, though, eventually comes from the recent feminist discussions of American masculinity and its supposed crises. Begun interestingly with discussions of film noir, the topic has thinned out considerably in the hands of Susan Faludi, Susan Jeffords, Yvonne Tasker, and Chris Holm. It now tends to distort film genre study more than it helps. Gates’s dependency on this criticism hobbles parts of her book. As a result she becomes too speedy with the promising discussion of earlier phases of the detective’s movie history (for example, the 1930s B-film). Overly schematic to the point of misdescribing things, like the Thin Man cycle starring William Powell and Myrna Loy (she says Powell carries a sense of Englishness about him, and that is just not true), Gates can be very helpful at sorting out the apparent contradiction in 1940s detection films between the hard-boiled solitary sleuth (exemplified by Bogart’s Spade and Marlowe) and the blander team player of the ‘police procedural’ (father to tv shows such as Dragnet), but then she rushes through the 1950s and 1960s (the era when Paul Newman and Frank Sinatra played private eyes), skips over signature films, such as Klute and Point Blank, precisely where fresh analyses are most needed, then lets her book bulge at the point when the police detective mutates into an action-film character, starting with the Dirty Harry cycle (starring Clint Eastwood), and rolling toward the Lethal Weapon (with Mel Gibson and Danny Glover) and the Die Hard cycles (with Bruce Willis). The problem here is two-fold. Detecting Men becomes unbalanced and the interpretations depart wholly from detection toward analyzing pumped male stars, leading her to devote wasted pages to Rambo (a combat film), and Fatal Attraction (which has no detective) because its star, Michael Douglas, is so famous a figure of ‘white male crisis’ (and he has played detectives, as in Basic Instinct). It is no doubt true that sexual politics did shift the screen detective, but Gates starts losing sight of her main subject and feels compelled to depend too heavily on other critics’ analyses. The same occurs with discussions of the race component, which takes her through Lethal Weapon and Die Hard, films without any detection. But she ignores other more pertinent films, such as Rising Sun, which also has a mixed-race police team and a Japanese corporation and elaborate detection plot. When she turns to the intriguing and lately popular figure of the ‘criminalist,’ exemplified by William Petersen on the television series CSI, she fails to pin down the specific development she promised to identify. She misses her main chance when she misreads The Silence of the Lambs and its imitators (Copycat, The Bone Collector) by over-accenting gender politics, and not the more obviously politically intriguing feature of the contemporary film detective: his or her existence in a virtual bubble of specialized expertise and police culture. The professional enclosure becomes almost [End Page 357] hermetic and the struggles between criminal (serial killer usually, or, less often, professional crook, or heist gang) are almost closed to social currents. Gates is too preoccupied with derivative discussions of gender and race politics, in the manner of 1980s academic cultural studies, to allow herself...

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)0.005
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: none
Teacher disagreement score0.012
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0120.003

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 head0.011
GPT teacher head0.187
Teacher spread0.176 · 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".

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Citations0
Published2009
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