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Record W7095239840

ENGLISH-LANGUAGE RADIO DRAMA: A COMPARISON OF CENTRAL & REGIONAL PRODUCTION UNITS

2016· article· en· W7095239840 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicRadio, Podcasts, and Digital Media
Canadian institutionsnot available
Fundersnot available
KeywordsDramaContext (archaeology)Radio broadcastingProduction (economics)
DOInot available

Abstract

fetched live from OpenAlex

A comparison of the work of two radio drama producers, Andrew Allan (Toronto) and Rupert Caplan (Montreal), between 194 1 and 1%1. The two are taken to represent distinct creative formations examined in relation to the complex of production elements in the context of the tensions between region and centre in Canada. Nous comparons les ouevres de deux realisateurs de dramatiques radiophoniques, celles du torontois Andrew Allan avec celles du montrealais Rupert Caplan, entre 1941 et 1961. Nous analysons leur demarche crhtrice respective en fonction de la configuration des com-posantes de production dans le contexte des tensions entre le centre et la p6riphCrie au Canada. Andrew Allan and Rupert Caplan were two of the major producers of radio drama aired by the CRBC and the CBC between 1932 and 1961. Allan, who began his radio career as a writer and announcer in Toronto, joined the CBC in Vancouver as a drama producer during the early 1940's. In 1943 he returned to Toronto as National Drama Supervisor and, in this role, produced English-Canada's "National Theatre of the Air". Caplan began his radio career in 1931 as an actor in the

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score0.487

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0060.005
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.063
GPT teacher head0.321
Teacher spread0.257 · 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 designObservational
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
Published2016
Admission routes1
Has abstractyes

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