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Record W2619242619 · doi:10.5539/ells.v7n2p31

Modals as Carriers of Ideology in Salmon Fishing in the Yemen

2017· article· en· W2619242619 on OpenAlexvenueno aff
Gibreel Sadeq Alaghbary, Ohood Ali Mohammed Saif Al-Nakeeb

Bibliographic record

VenueEnglish Language and Literature Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East and Rwanda Conflicts
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyNewspaperNarrativeModalModal verbSociologyModality (human–computer interaction)AKALinguisticsEpistemologyPolitical scienceMedia studiesComputer scienceLawPoliticsPhilosophyArtificial intelligence

Abstract

fetched live from OpenAlex

Modality encodes speakers or writers’ attitudes towards, and evaluations of, people and states of affairs. These evaluative attitudes are often ideologically motivated. This paper investigates ideology as carried by modal expressions in Salmon Fishing in the Yemen. Of the ten genres constituting the narrative, the newspaper articles have been selected for analysis. The paper adopts Simpson’s (1993) analytical framework, aka Critical Linguistics, in order to achieve three objectives. It aims to identify the modal expressions employed in the selected newspaper articles, classify the relevant modalized, and modally unmarked, statements, and explore the ideological assumptions and evaluations generated by the modal expressions, or their absence, in relation to the characters’ attitudes towards each other and towards the thematic developments in the novel. Analysis uncovers a dichotomy constructed between the East and West. The East, represented by the salmon project, Sheikh Muhammad and the Yemeni government, is projected as submissive and inferior.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.085
Threshold uncertainty score0.493

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.018
GPT teacher head0.334
Teacher spread0.316 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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