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Record W1586678485

A Rhetorical Analysis of Selected Editorials of Newswatch and Tell Magazines

2013· article· en· W1586678485 on OpenAlexvenueno aff
K. B. C. Ashipu

Bibliographic record

VenueStudies in literature and language · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsRhetorical questionStyle (visual arts)RhetoricLinguisticsRhetorical devicePoliticsStylisticsContext (archaeology)Variety (cybernetics)SociologyWriting styleMeaning (existential)PsychologyLiteratureHistoryComputer sciencePolitical scienceLawPhilosophyArt
DOInot available

Abstract

fetched live from OpenAlex

Editorials are comments on news items that are of national interest and which attract the attention of the editor. Such news items may be political, economic, educational, religious or general socio-political issues that border on the welfare of the people. An editorial expresses a personal opinion of the editor on such matters and it is like an essay written by an individual editor, during which the editor exhibits his personal creative style. This variety of style that is commonly exhibited in journalese is known as House Style. This paper belongs to a significant aspect of the English language study known as Stylistics. Stylistics is a central component of Rhetoric which is a linguistic activity that treats the devices that convey meaning in language. It studies the persuasive and emotional effects of language and attempt to understand how linguistic devices create these effects. It emphasizes essentially the linguistic devices, the social aspect of language and its impact in a particular context. Rhetorical Stylistics identifies and isolates the linguistic features that constitute the style of a text. This paper uses stylistic models to examine the rhetorical devices in Newswatch and Tell Magazines which constitute a House Style that is different from other forms of writing. The paper concludes that rhetorical devices are essential components for embellishing thought and to reflect the local colour of language.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.080
Threshold uncertainty score0.327

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.032
GPT teacher head0.326
Teacher spread0.294 · 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 teacher head, 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

Citations5
Published2013
Admission routes1
Has abstractyes

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