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Record W2105155407 · doi:10.1177/1527476409357641

The Synthespian’s Animated Prehistory: The Monkees, The Archies, Don Kirshner, and the Politics of “Virtual Labor”

2010· article· en· W2105155407 on OpenAlexaff
Matt Stahl

Bibliographic record

VenueTelevision & New Media · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsAgency (philosophy)EntertainmentPoliticsCapital (architecture)SociologyPrehistoryAction (physics)Media studiesAdvertisingLawPolitical scienceVisual artsArtHistorySocial scienceBusiness

Abstract

fetched live from OpenAlex

This article explores the political-economic “prehistory” of the “synthespian” by tracing the emergence of the rock and roll cartoon The Archies (1968—78) from the ashes of the live-action sitcom The Monkees (1966—68) through the career of music publisher and producer Don Kirshner. Drawing on original interviews with the producers of The Archies, it argues that early experiments in “fixing” variable entertainment capital through the organization of divisions of nonproprietary authorship contributed to the development of rights-free “virtual labor.” This analysis brings to light the logics and politics that are never far from “purely technical” advances in entertainment production. The trajectory of Don Kirshner brings into relief historical convergences of efficiencies and rationalizations in different but related fields that were fortuitous for entertainment capital in that they allowed the solution of labor problems—the “agency costs” posed by singing, dancing, instrument-playing, rights-bearing persons—with “virtual laborers,” the visible, audible, and agency-free avatars of hidden divisions of creative 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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.018
Scholarly communication0.0050.004
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.018
GPT teacher head0.210
Teacher spread0.193 · 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

Citations7
Published2010
Admission routes1
Has abstractyes

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