MétaCan
Menu
Back to cohort
Record W2087474040 · doi:10.3390/soc2040235

Working Stiff(s) on Reality Television during the Great Recession

2012· article· en· W2087474040 on OpenAlexaff
Sean Brayton

Bibliographic record

VenueSocieties · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsCapitalismMasculinityNarrativeWorking classAnachronismRecessionLabor historyGender studiesWhite (mutation)Emotional laborPoliticsDialecticFantasySociologyLabor relationsAestheticsPolitical scienceArtLawPsychologyEconomicsLiteratureSocial psychologyKeynesian economics

Abstract

fetched live from OpenAlex

This essay traces some of the narratives and cultural politics of work on reality television after the economic crash of 2008. Specifically, it discusses the emergence of paid labor shows like Ax Men, Black Gold and Coal and a resurgent interest in working bodies at a time when the working class in the US seems all but consigned to the dustbin of history. As an implicit response to the crisis of masculinity during the Great Recession these programs present an imagined revival of manliness through the valorization of muscle work, which can be read in dialectical ways that pivot around the white male body in peril. In Ax Men, Black Gold and Coal, we find not only the return of labor but, moreover, the re-embodiment of value as loggers, roughnecks and miners risk both life and limb to reach company quotas. Paid labor shows, in other words, present a complicated popular pedagogy of late capitalism and the body, one that relies on anachronistic narratives of white masculinity in the workplace to provide an acute critique of expendability of the body and the hardships of physical labor.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.010
Scholarly communication0.0050.004
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0090.001

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 head0.078
GPT teacher head0.344
Teacher spread0.265 · 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 designQualitative
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

Citations6
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueSocietiesSame topicGender, Feminism, and MediaFrench-language works237,207