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Record W1659688076 · doi:10.22230/cjc.2011v36n3a2363

Death Comes to Town, Irreverent Humour, and Accessibility for the Blind and Low-Visioned

2011· article· en· W1659688076 on OpenAlexaffvenueabout
Kristen Aspevig

Bibliographic record

VenueCanadian Journal of Communication · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsComedyDramaMeaning (existential)Media studiesSociologyLawAdvertisingPolitical scienceLiteratureArtAestheticsPsychologyBusiness

Abstract

fetched live from OpenAlex

This article focuses on described video (DV), which makes television accessible to persons who are blind or who have low vision by providing voice-over descriptions of shows. The article highlights the lack of DV content in Canada and outlines the factors inhibiting more DV production, including policy, the commercial and organizational structure of television, and the established conventions that were developed for certain genres (e.g., documentary and drama). It uses the described version of the recent CBC mini-series Death Comes to Town, created by the comedy troupe Kids in the Hall, to illustrate how different genres of television, such as comedy, require unconventional styles of description to convey their full cultural meaning. Finally, it argues that true accessibility and participation in national media culture for people who are blind or have low vision, as mandated in Canadian and international law, depend on adequate DV.

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)0.007
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 score0.279
Threshold uncertainty score0.555

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0200.032
Scholarly communication0.0090.004
Open science0.0010.006
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 head0.125
GPT teacher head0.286
Teacher spread0.161 · 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
Published2011
Admission routes3
Has abstractyes

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