MétaCan
Menu
Back to cohort
Record W1918904132 · doi:10.22230/cjc.2015v40n3a2816

“The Story Is Only the Platter On Which the Personality Is Served”: The Debate Over Media Integrity on CBC Radio’s Literary Arts Programming, 1948–1985

2015· article· en· W1918904132 on OpenAlexaffvenueabout
Ross Eaman

Bibliographic record

VenueCanadian Journal of Communication · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicRadio, Podcasts, and Digital Media
Canadian institutionsCarleton University
Fundersnot available
KeywordsSuccessor cardinalPresentation (obstetrics)The artsPersonalityMedia studiesSelection (genetic algorithm)SociologyLiteratureHistoryPsychologyArtComputer scienceVisual artsSocial psychologyArtificial intelligence

Abstract

fetched live from OpenAlex

The early efforts of CBC Radio to promote Canadian literature through programs such as Canadian Short Stories and its successor, Anthology, gave rise to various issues related to media integrity, including the selection of content, the use of language, and the format of presentation. Even before Robert Weaver retired in 1985, the approach he developed in the 1950s gave way to a different philosophy of literary arts programming, one focusing less on the needs of CanLit and more on the contingencies of radio. As in other cases of textual migration across media, the ontological requirements of the destination medium eventually took precedence. The process by which this shift occurred is examined using the relatively unexplored papers of Weaver and Howard Engel and other documents.

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)0.005
metaresearch head score (Gemma)0.013
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 score0.598
Threshold uncertainty score0.800

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.038
Scholarly communication0.0110.006
Open science0.0010.003
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0030.001

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 head0.083
GPT teacher head0.314
Teacher spread0.231 · 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

Citations0
Published2015
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of CommunicationSame topicRadio, Podcasts, and Digital MediaFrench-language works237,207