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Record W4230845452 · doi:10.3138/cras.37.3.325

A Usable History for the Study of Television

2007· article· en· W4230845452 on OpenAlexvenueaboutno aff
Paul Attallah

Bibliographic record

VenueCanadian Review of American Studies · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeHollywoodOpposition (politics)Television studiesInstitutionalisationMedia studiesSociologyPolitical scienceHistoryAestheticsLiteratureLawArt

Abstract

fetched live from OpenAlex

Abstract: This article examines the ways in which television is usually studied, and finds them wanting. The usual approach of putting television in opposition to film, while useful, contains numerous aporias and leads to particular types of questions. Additionally, it works best with American media and poorly with those in other countries. Finally, television's historical ties to film are often most appreciated when they highlight the tragedy of Hollywood's passing. In the case of Canada, the study of television has been hampered by its absorption into the narrative of cultural defence and into the rationale of the policy apparatus justified by that narrative. The article proposes, therefore, three avenues for the reform of television studies. The first is to attend to actual audience behaviour through theoretically informed empirical study. The second is to attend to the historical forms of the institutionalization of television within its specific contexts. The third is to abandon the narrative of cultural defence with its attendant focus on the policy apparatus in favour of a more nuanced evaluation of the entire constellation of discourses which make up the television institution.

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.795
Threshold uncertainty score0.761

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.086
GPT teacher head0.386
Teacher spread0.300 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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
Published2007
Admission routes2
Has abstractyes

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