MétaCan
Menu
Back to cohort
Record W2807384098

Who Framed Conrad Black?: Language and Translation in Print Newspaper Articles

2017· dissertation· en· W2807384098 on OpenAlexaboutno aff
Deanna Marie Nemeth

Bibliographic record

VenueYorkSpace (York University) · 2017
Typedissertation
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperTranslation (biology)LinguisticsLiteratureHistoryArtMedia studiesSociologyPhilosophyChemistry
DOInot available

Abstract

fetched live from OpenAlex

The primary objective of this corpus-based research is to reveal how media discourse contributes to the framing and portrayal of public figures, specifically Conrad Black, in French and English print media from Canada, the United Kingdom and France, and in particular, to identify the language and strategies used to do so. A secondary purpose of this thesis is to examine news reports for evidence of assumed translation as defined by Toury (1995). The theories and methodologies drawn on derive from linguistics, discourse analysis, media studies, cultural studies, and translation studies. By applying a multidisciplinary approach and conducting quantitative and qualitative analyses, I produced evidence that Conrad Black was framed and labelled in the English-language and French-language print media, and found evidence of at least one assumed translation among the reports I examined.

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)0.010
metaresearch head score (Gemma)0.026
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 score0.027
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.026
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.006
Science and technology studies0.0140.021
Scholarly communication0.0140.008
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.222
Teacher spread0.194 · 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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueYorkSpace (York University)Same topicShakespeare, Adaptation, and Literary CriticismFrench-language works237,207