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Record W2618035911 · doi:10.5539/ells.v7n2p110

Beyond Predator and Prey: Figuring Corruption through Animal Metaphoric Scenarios in the Jordanian Context

2017· article· en· W2618035911 on OpenAlex
Mohammad Abedltif Albtoush, Sakina Suffian Sahuri

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnglish Language and Literature Studies · 2017
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsnot available
Fundersnot available
KeywordsMetaphorRhetoricRhetorical questionContext (archaeology)Language changeIdeologyArgument (complex analysis)Action (physics)CognitionSociologyEpistemologyPsychologyLinguisticsPolitical scienceLawPoliticsHistoryPhilosophy

Abstract

fetched live from OpenAlex

Combining a cognitive approach based on Lakoff’s Conceptual Metaphor Theory and a pragmatic approach based on Critical Metaphor Analysis, this study investigates the use of ANIMAL metaphoric scenarios to figure corruption as a relationship between predators and prey and the cultural implications in the Jordanian context. It also seeks to identify the diverse functions performed by the use of ANIMAL metaphors. Data for the study consist of 10 excerpts taken from a satire-genre discourse “sawalief.com”. My argument is that all animal metaphors in the corpus promote the contrast between the ACTIVITY of corrupters and the PASSIVITY of the citizenry and that the goal of this rhetoric is to move the PASSIVE citizenry into ACTION by shaming them into fighting corruption. This is clearly illustrated through the use of two types of ANIMAL metaphoric scenarios: ACTIVE ANIMALS representing corrupters and politicians, and PASSIVE ANIMALS representing the citizens. In addition, the use of these metaphors performs diverse functions: ideological, cognitive, and rhetorical.

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.

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 score0.118
Threshold uncertainty score0.597

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 communication0.0000.001
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 head0.020
GPT teacher head0.309
Teacher spread0.290 · 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