MétaCan
Menu
Back to cohort
Record W2324029037 · doi:10.1177/1527476415577211

Scenes from an Imaginary Country

2015· article· en· W2324029037 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 · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsMcGill University
FundersResearch EnglandSocial Sciences and Humanities Research Council of CanadaMicrosoft Research
KeywordsNTSCThe ImaginaryPerceptionTest (biology)Representation (politics)Computer sciencePoliticsSociologyTelecommunicationsPsychologyLawPolitical scienceHigh-definition television

Abstract

fetched live from OpenAlex

American analog color television—so-called NTSC color—is likely the most pervasive image standard of the twentieth century, yet it is infamous for its technical shortcomings. Through a history and analysis of the National Television System Committee (NTSC) standard, this article argues that the political presuppositions of engineers shaped the representational capacities of television for nearly sixty years. In particular, the test images used to develop a perceptually satisfying image evince assumptions of a leisurely and white United States as the “normal” subject matter of television. In this way, test materials coalesce abstract assumptions about the normal and the exceptional at the level of both form and content. This article concludes that NTSC color served as a model for how normed cultural sensibilities about image quality, perceptual ability, and the representational imaginary have been built into subsequent technical standards. A Scalar version of this paper, with more pictures, is available at http://colortvstandards.net

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.137
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.065
GPT teacher head0.266
Teacher spread0.201 · 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