MétaCan
Menu
Back to cohort

English as an Instrument of Power: A Study of Literary Texts from a Social Critical Perspective

2025· article· en· W4411466393 on OpenAlexaboutno aff

Bibliographic record

VenueAmerican Journal Of Social Sciences And Humanity Research · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsSociologyAppropriationOpposition (politics)AestheticsLinguisticsPolitical scienceLawArt

Abstract

fetched live from OpenAlex

The study critically analyzed how English has been shaped and appropriated across diverse and often antagonistic social, political, and cultural arenas. This study used lyric poetry and music lyrics from across Canada and Cameroon to analyze socioeconomic issues. As said in the opening, the goal was to delve into the ambivalence of English as a ubiquitous and occasionally pervasive language, providing fertile ground for local musical interpretations and textual changes. Despite its ethnic dissimilarity and displacement, the analytic selection upheld a lack of linguistic rights, justice, antagonism, reinvention, and patriotism/local-mindedness towards its polysemy-afflicted language. The investigation uncovered a strategic, theatrical, and fruitful use of allusion, as was the role of language and culture in global and cross-cultural dissimulation. In an overtly affirmative act with its appropriation from the colonial masters, the coping mechanisms of adaptation, opposition, and promotion were compared to loan-shifting. A new ontology and the rhythmicity of soft power in the war of discourses were hinted at by the domesticates culled from texts imperiled by local and worldwide political intrigue.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.190
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.006
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 head0.157
GPT teacher head0.595
Teacher spread0.438 · 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; both teacher heads agree on what is shown here.

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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal Of Social Sciences And Humanity ResearchSame topicMultilingual Education and PolicyFrench-language works237,207