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Record W2898454206 · doi:10.1080/17411912.2018.1532305

‘Traveling-in-dwelling, dwelling-in-traveling’: producing multicultural Canada through narrations of mobility on CBC Radio’s <i>Fuse</i>

2018· article· en· W2898454206 on OpenAlexafffundabout
Rebecca Draisey-Collishaw

Bibliographic record

VenueEthnomusicology Forum · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsMemorial University of Newfoundland
FundersSocial Sciences and Humanities Research Council of CanadaMemorial University of Newfoundland
KeywordsFuse (electrical)NarrativeBroadcasting (networking)MulticulturalismSociologyFace (sociological concept)CorporationStyle (visual arts)Representation (politics)Media studiesGender studiesPolitical scienceVisual artsArtEngineeringComputer scienceLiteratureSocial scienceElectrical engineeringLawPolitics

Abstract

fetched live from OpenAlex

This case study of Fuse, a live concert-style radio programme produced between 2005 and 2008 by the Canadian Broadcasting Corporation (CBC), explores the distinctive ways that travel and mobility were narrated on air. I suggest that there are meaningful correlations between the discursive tropes that I label ‘transit’ and ‘road’ narratives, and the patterns of representation found on Fuse. These correlations contribute to maintaining hierarchical discourses about Canadian social relations in the face of policies and discourses relating to multiculturalism.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.285

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0290.017
Scholarly communication0.0080.003
Open science0.0020.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.040
GPT teacher head0.314
Teacher spread0.275 · 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

Citations3
Published2018
Admission routes3
Has abstractyes

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